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DGL: Impactful graph neural networks: A Tale of Research and Productionization
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Efficient Graph Similarity Computation with Alignment Regularization
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LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank
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Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks
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Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
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Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
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BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
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ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
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Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
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VTC-LFC: Vision Transformer Compression with Low-Frequency Components
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A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval
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CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
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Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer
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Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
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Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
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Approximate Secular Equations for the Cubic Regularization Subproblem
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TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
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One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration
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A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
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TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
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Effectiveness of Vision Transformer for Fast and Accurate Single-Stage Pedestrian Detection
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MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
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Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
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DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
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[Re] Privacy-preserving collaborative learning with automatic transformation search
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Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
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Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
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Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
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Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval
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Differentiable hierarchical and surrogate gradient search for spiking neural networks
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CalFAT: Calibrated Federated Adversarial Training with Label Skewness
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Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
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SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
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Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift
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Unifying Voxel-based Representation with Transformer for 3D Object Detection
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How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
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Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
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Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
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Quantized Training of Gradient Boosting Decision Trees
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Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
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Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
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Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
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Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
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Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets
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Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network
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Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search
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Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
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Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
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Multi-view Subspace Clustering on Topological Manifold
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Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
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Learning Invariant Graph Representations for Out-of-Distribution Generalization
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Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
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Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
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Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples
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Distributional Reinforcement Learning for Risk-Sensitive Policies
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Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution
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Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models
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SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
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Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
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Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks
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MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
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Collaborative Learning by Detecting Collaboration Partners
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Robust Semi-Supervised Learning when Not All Classes have Labels
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GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
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Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
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Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
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HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
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Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
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Learning to Share in Networked Multi-Agent Reinforcement Learning
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Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
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RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
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Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
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Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
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"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
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Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques
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Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
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Natural image synthesis for the retina with variational information bottleneck representation
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Efficient Multi-agent Communication via Self-supervised Information Aggregation
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A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
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OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
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LOG: Active Model Adaptation for Label-Efficient OOD Generalization
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HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
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Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
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When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
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Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
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RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
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LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
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Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
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Domain Generalization by Learning and Removing Domain-specific Features
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Grounded Reinforcement Learning: Learning to Win the Game under Human Commands
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Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
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TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies
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Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
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Can Adversarial Training Be Manipulated By Non-Robust Features?
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HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process
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Towards Lightweight Black-Box Attack Against Deep Neural Networks
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An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
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Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
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MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
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Recurrent Video Restoration Transformer with Guided Deformable Attention
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Towards Efficient 3D Object Detection with Knowledge Distillation
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Tensor Wheel Decomposition and Its Tensor Completion Application
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SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
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Efficient Knowledge Distillation from Model Checkpoints
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EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
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TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation
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Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
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Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
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When to Update Your Model: Constrained Model-based Reinforcement Learning
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Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal Retrieval
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You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
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Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
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Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
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Surprise Minimizing Multi-Agent Learning with Energy-based Models
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Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
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Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
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BLOX: Macro Neural Architecture Search Benchmark and Algorithms
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Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
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Probing Classifiers are Unreliable for Concept Removal and Detection
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Learning Substructure Invariance for Out-of-Distribution Molecular Representations
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Learning to Constrain Policy Optimization with Virtual Trust Region
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D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
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Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
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Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech
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APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
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Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
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Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning
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S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning
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Parameter-free Dynamic Graph Embedding for Link Prediction
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Distributed Online Convex Optimization with Compressed Communication
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M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus
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InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation
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Coded Residual Transform for Generalizable Deep Metric Learning
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MExMI: Pool-based Active Model Extraction Crossover Membership Inference
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Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
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RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
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LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
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Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
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MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
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LGDN: Language-Guided Denoising Network for Video-Language Modeling
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PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
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Generative Status Estimation and Information Decoupling for Image Rain Removal
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Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
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Benefits of Additive Noise in Composing Classes with Bounded Capacity
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Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
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Measuring and Reducing Model Update Regression in Structured Prediction for NLP
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When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
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A Policy-Guided Imitation Approach for Offline Reinforcement Learning
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FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
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GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
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TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models
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Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets
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Enhance the Visual Representation via Discrete Adversarial Training
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Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
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Concentration of Data Encoding in Parameterized Quantum Circuits
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Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
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Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
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ZIN: When and How to Learn Invariance Without Environment Partition?
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Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models
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Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
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Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
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TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
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Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses
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Task-Free Continual Learning via Online Discrepancy Distance Learning
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Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
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GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
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SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
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Estimating graphical models for count data with applications to single-cell gene network
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Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization
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Out-of-Distribution Detection via Conditional Kernel Independence Model
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pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
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AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
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Leveraging Inter-Layer Dependency for Post -Training Quantization
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FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction
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REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
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Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
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Exploring Figure-Ground Assignment Mechanism in Perceptual Organization
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DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
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Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
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Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images
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Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
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Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
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EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
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High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
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Understanding the Failure of Batch Normalization for Transformers in NLP
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Provable Generalization of Overparameterized Meta-learning Trained with SGD
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MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training
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Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
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PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
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Generalized One-shot Domain Adaptation of Generative Adversarial Networks
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Poster]
[
OpenReview]
Poster
None
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes
[
Poster]
[
OpenReview]
Poster
None
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
[
OpenReview]
Poster
None
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
[
Poster]
[
OpenReview]
Poster
None
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination
[
Poster]
[
OpenReview]
Poster
None
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
[
Poster]
[
OpenReview]
Poster
None
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification
[
OpenReview]
Poster
None
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
[
Poster]
[
OpenReview]
Poster
None
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
[
Poster]
[
OpenReview]
Poster
None
ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
[
OpenReview]
Poster
None
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
[
Poster]
[
OpenReview]
Poster
None
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
[
Poster]
[
OpenReview]
Poster
None
Multilingual Abusive Comment Detection at Scale for Indic Languages
[
Poster]
[
OpenReview]
Poster
None
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks
[
Poster]
[
OpenReview]
Poster
None
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
[
OpenReview]
Poster
None
Contextual Bandits with Knapsacks for a Conversion Model
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Towards Video Text Visual Question Answering: Benchmark and Baseline
[
Poster]
[
OpenReview]
Poster
None
TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records
[
Poster]
[
OpenReview]
Poster
None
Versatile Multi-stage Graph Neural Network for Circuit Representation
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates
[
OpenReview]
Poster
None
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
[
Poster]
[
OpenReview]
Poster
None
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
[
Poster]
[
OpenReview]
Poster
None
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
[
OpenReview]
Poster
None
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
On Batch Teaching with Sample Complexity Bounded by VCD
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Byzantine-tolerant federated Gaussian process regression for streaming data
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
[
Poster]
[
OpenReview]
Poster
None
On the relationship between variational inference and auto-associative memory
[
Poster]
[
OpenReview]
Poster
None
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
[
Poster]
[
OpenReview]
Poster
None
Posted Pricing and Dynamic Prior-independent Mechanisms with Value Maximizers
[
Poster]
[
OpenReview]
Poster
None
Towards Understanding the Condensation of Neural Networks at Initial Training
[
Poster]
[
OpenReview]
Poster
None
An Investigation into Whitening Loss for Self-supervised Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
[
Poster]
[
OpenReview]
Poster
None
Towards Practical Control of Singular Values of Convolutional Layers
[
Poster]
[
OpenReview]
Poster
None
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories
[
Poster]
[
OpenReview]
Poster
None
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
[
Poster]
[
OpenReview]
Poster
None
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
[
OpenReview]
Poster
None
NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis
[
Poster]
[
OpenReview]
Poster
None
Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
[
Poster]
[
OpenReview]
Poster
None
Self-Supervised Image Restoration with Blurry and Noisy Pairs
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Mildly Conservative Q-Learning for Offline Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
None
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
None
A Unified Diversity Measure for Multiagent Reinforcement Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
None
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
[
Poster]
[
OpenReview]
Poster
None
Learning Physical Dynamics with Subequivariant Graph Neural Networks
[
Poster]
[
OpenReview]
Poster
None
Data Augmentation MCMC for Bayesian Inference from Privatized Data
[
Poster]
[
OpenReview]
Poster
None
Label-invariant Augmentation for Semi-Supervised Graph Classification
[
Poster]
[
OpenReview]
Poster
None
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Training Spiking Neural Networks with Event-driven Backpropagation
[
Poster]
[
OpenReview]
Poster
None
SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization
[
Poster]
[
OpenReview]
Poster
None
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
[
OpenReview]
Poster
None
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
[
Poster]
[
OpenReview]
Poster
None
Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond
[
Poster]
[
OpenReview]
Poster
None
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing
[
Poster]
[
OpenReview]
Poster
None
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
[
Poster]
[
OpenReview]
Poster
None
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
[
Poster]
[
OpenReview]
Poster
None
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
[
Poster]
[
OpenReview]
Poster
None
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Supported Policy Optimization for Offline Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
None
Segmenting Moving Objects via an Object-Centric Layered Representation
[
Poster]
[
OpenReview]
Poster
None
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
[
Poster]
[
OpenReview]
Poster
None
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
[
Poster]
[
OpenReview]
Poster
None
ZARTS: On Zero-order Optimization for Neural Architecture Search
[
Poster]
[
OpenReview]
Poster
None
Multi-dataset Training of Transformers for Robust Action Recognition
[
Poster]
[
OpenReview]
Poster
None
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
[
Poster]
[
OpenReview]
Poster
None
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
[
Poster]
[
OpenReview]
Poster
None
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
[
OpenReview]
Poster
None
DropCov: A Simple yet Effective Method for Improving Deep Architectures
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling
[
Poster]
[
OpenReview]
Poster
None
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
[
OpenReview]
Poster
None
Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
Optimal Positive Generation via Latent Transformation for Contrastive Learning
[
Poster]
[
OpenReview]
Poster
None
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
[
OpenReview]
Poster
None
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
[
Poster]
[
OpenReview]
Poster
None
GAR: Generalized Autoregression for Multi-Fidelity Fusion
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes
[
Poster]
[
OpenReview]
Poster
None
Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning
[
Poster]
[
OpenReview]
Poster
None
Provable General Function Class Representation Learning in Multitask Bandits and MDP
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
[
Poster]
[
OpenReview]
Poster
None
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
[
Poster]
[
OpenReview]
Poster
None
Product Ranking for Revenue Maximization with Multiple Purchases
[
Slides]
[
Poster]
[
OpenReview]
Poster
None
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds
[
Poster]
[
OpenReview]
Poster
None
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
[
OpenReview]
Registration Desk
Mon Nov 28 05:00 AM -- 05:00 PM (PST) @ Lobby H None
Registration Desk
Affinity Workshop
Mon Nov 28 05:30 AM -- 11:00 AM (PST) @ Hall I-2 None
Women in Machine Learning
[
Slides]
[ Contact: workshop@wimlworkshop.org ]
Affinity Workshop
Mon Nov 28 06:00 AM -- 04:00 PM (PST) @ Room 298 - 299 None
LatinX in AI
[ Contact: lxai-neurips-chairs-2022@latinxinai.org ]
Workshop
Mon Nov 28 07:00 AM -- 04:00 PM (PST) @ Room 283 None
Queer in AI
Expo Talk Panel
Mon Nov 28 07:30 AM -- 08:30 AM (PST) @ Theater B None
End-to-end cloud-based Document Intelligence Architecture using the open-source Feathr Feature Store, the SynapseML Spark library, and Hugging Face Extractive Question Answering
Expo Talk Panel
Mon Nov 28 07:30 AM -- 08:30 AM (PST) @ Theater A None
TIPDAT: ML based Optimization Explainer
Expo Workshop
Mon Nov 28 07:30 AM -- 10:30 AM (PST) @ Room 291 None
PyTorch: New advances for large-scale training and performance optimizations
Expo Workshop
Mon Nov 28 07:30 AM -- 10:25 AM (PST) @ Room 292 None
Graph Neural Networks in Tensorflow: A Practical Guide
Expo Workshop
Mon Nov 28 07:30 AM -- 10:30 AM (PST) @ Room 293 None
Fine-tuning stable diffusion models: massive creativity without massive bills
Expo Workshop
Mon Nov 28 07:30 AM -- 10:30 AM (PST) @ Room 290 None
Get ready, your Jupyter Notebook goes to production!
Affinity Workshop
Mon Nov 28 07:40 AM -- 04:00 PM (PST) @ Room 288 - 289 None
Black in AI
[ Contact: blackinai2022@googlegroups.com ]
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Conditional Compute for On-device Video Understanding
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Build Better Models Faster with W&B
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Real-time Navigation of Chemical Space with Cloud-Based Inference from MoLFormer
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Full-Stack 3D Scene Understanding on an Extended Reality Headset
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Human Modeling and Strategic Reasoning in the Game of Diplomacy
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Efficient super-resolution using 4-bit integer quantization for real-time mobile applications
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Practical Deployment of Secure Federated Learning: Challenges, Opportunities and Solutions
Expo Demonstration
Mon Nov 28 08:00 AM -- 10:00 AM & Mon Nov 28 12:00 PM -- 02:00 PM (PST) @ Ballroom C None
Software-Delivered AI: Using Sparse-Quantization for Fastest Inference on Deep Neural Networks
Mentorship
Mon Nov 28 08:00 AM -- 01:00 PM (PST) @ Ballroom A+B None
Education Outreach
Expo Talk Panel
Mon Nov 28 08:30 AM -- 09:30 AM (PST) @ Theater A None
Challenges & Opportunities for Ethical AI in Practice
Expo Talk Panel
Mon Nov 28 08:30 AM -- 09:30 AM (PST) @ Theater B None
Machine Learning and Optimization for Automated Trading at HRT
Break
Mon Nov 28 09:00 AM -- 10:00 AM (PST) None
Coffee Break
Affinity Workshop
Mon Nov 28 09:30 AM -- 04:00 PM (PST) @ Room 286 None
Indigenous in AI
Expo Talk Panel
Mon Nov 28 09:30 AM -- 10:30 AM (PST) @ Theater B None
Uncertainty quantification for fair and transparent AI-assisted decision-making
Expo Talk Panel
Mon Nov 28 09:30 AM -- 10:30 AM (PST) @ Theater A None
Using AI for Reduced-Order Modeling
Expo Talk Panel
Mon Nov 28 11:00 AM -- 12:00 PM (PST) None
Understanding the Landscape of the latest Large Models - Virtual
Expo Talk Panel
Mon Nov 28 12:00 PM -- 01:00 PM (PST) @ Theater B None
Towards learning agents for solving complex real-world tasks
Expo Talk Panel
Mon Nov 28 12:00 PM -- 01:00 PM (PST) @ Theater A None
Sparse annotation strategies at scale
Expo Workshop
Mon Nov 28 12:00 PM -- 03:00 PM (PST) @ Room 291 None
Impactful graph neural networks via DGL: A Tale of Research and Productization
Expo Workshop
Mon Nov 28 12:00 PM -- 03:00 PM (PST) @ Room 290 None
Intro to TensorFlow and JAX
Expo Workshop
Mon Nov 28 12:00 PM -- 03:00 PM (PST) @ Room 293 None
AutoGluon: Empowering (MultiModal) AutoML for the next 10 Million users
Affinity Workshop
Mon Nov 28 12:30 PM -- 04:00 PM (PST) @ Room 287 None
Global South in AI
[
Slides]
Expo Talk Panel
Mon Nov 28 01:00 PM -- 02:00 PM (PST) @ Theater B None
Adapt and Optimize ML Models for Hardware-Aware AI
Expo Talk Panel
Mon Nov 28 01:00 PM -- 02:00 PM (PST) @ Theater A None
Generative Understanding of 3D Scenes
Break
Mon Nov 28 01:30 PM -- 02:30 PM (PST) None
Coffee Break
Expo Talk Panel
Mon Nov 28 02:00 PM -- 03:00 PM (PST) @ Theater B None
Human-in-the-Loop Is Here to Stay
Expo Talk Panel
Mon Nov 28 02:00 PM -- 03:00 PM (PST) @ Theater A None
Integrating modern machine learning and single cell technologies into drug target discovery - lessons from the frontline.
Affinity Poster Session
Mon Nov 28 02:30 PM -- 04:00 PM (PST) @ Hall J None
Affinity Poster Session
Affinity Workshop
Mon Nov 28 02:30 PM -- 04:00 PM (PST) None
North Africans in ML
Remarks
Mon Nov 28 03:00 PM -- 03:15 PM (PST) @ Hall H None
Opening Remarks
Invited Talk
Mon Nov 28 03:15 PM -- 04:00 PM (PST) @ Hall H None
Could a Large Language Model be Conscious?
[
Slides]
Reception
Mon Nov 28 04:00 PM -- 06:00 PM (PST) @ Hall G None
Reception
Registration Desk
Tue Nov 29 05:00 AM -- 04:00 PM (PST) @ Lobby H None
Registration Desk
Invited Talk
Tue Nov 29 07:30 AM -- 08:30 AM (PST) @ Hall H None
Algorithms On the Bench: Examining Validity of ML Systems in the Public Sphere
Break
Tue Nov 29 08:30 AM -- 09:00 AM (PST) None
Coffee Break
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #1001
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #143
FedPop: A Bayesian Approach for Personalised Federated Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #1010
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #101
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #103
Functional Ensemble Distillation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #105
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #107
Differentially Private Model Compression
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #108
Self-explaining deep models with logic rule reasoning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #109
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #110
Behavior Transformers: Cloning $k$ modes with one stone
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #111
Equivariant Networks for Zero-Shot Coordination
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #112
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #113
What You See is What You Classify: Black Box Attributions
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #114
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #115
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #116
Sparse Fourier Backpropagation in Cryo-EM Reconstruction
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #117
Predictive Querying for Autoregressive Neural Sequence Models
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #118
Extracting computational mechanisms from neural data using low-rank RNNs
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #119
Modeling the Machine Learning Multiverse
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #120
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #121
Retrospective Adversarial Replay for Continual Learning
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #122
Learning Neural Set Functions Under the Optimal Subset Oracle
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #123
Efficient Architecture Search for Diverse Tasks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #124
When Do Flat Minima Optimizers Work?
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #125
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #126
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #127
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #128
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #129
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs
[
Poster]
[
OpenReview]
[
Topia]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #130
PaCo: Parameter-Compositional Multi-task Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #131
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #133
Mask-based Latent Reconstruction for Reinforcement Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #134
Improved Fine-Tuning by Better Leveraging Pre-Training Data
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #135
Redundancy-Free Message Passing for Graph Neural Networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #136
Towards Improving Faithfulness in Abstractive Summarization
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Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #137
Delving into Out-of-Distribution Detection with Vision-Language Representations
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #138
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #139
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #140
EfficientFormer: Vision Transformers at MobileNet Speed
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #141
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
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Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #142
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #242
Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #241
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #240
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #239
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #238
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #237
Okapi: Generalising Better by Making Statistical Matches Match
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #236
Revisiting Sparse Convolutional Model for Visual Recognition
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Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #235
Random Normalization Aggregation for Adversarial Defense
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #234
Batch Multi-Fidelity Active Learning with Budget Constraints
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #233
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #232
Factuality Enhanced Language Models for Open-Ended Text Generation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #231
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #230
A Closer Look at Weakly-Supervised Audio-Visual Source Localization
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #229
GlanceNets: Interpretable, Leak-proof Concept-based Models
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #228
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #227
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
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OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #226
Inherently Explainable Reinforcement Learning in Natural Language
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #225
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #224
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #223
Structured Energy Network As a Loss
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #222
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #221
Sharpness-Aware Training for Free
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #220
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
[
Slides]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #219
Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #218
Amortized Mixing Coupling Processes for Clustering
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #217
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #216
ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #215
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #214
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
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Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #213
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #212
Pluralistic Image Completion with Gaussian Mixture Models
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #211
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #210
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #209
Graph Few-shot Learning with Task-specific Structures
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #208
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #207
Recommender Forest for Efficient Retrieval
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #206
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #205
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #204
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #203
Task-Agnostic Graph Explanations
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #202
CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and Animation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #201
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #200
Resource-Adaptive Federated Learning with All-In-One Neural Composition
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #300
Block-Recurrent Transformers
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #302
Distinguishing Learning Rules with Brain Machine Interfaces
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #303
Imitating Past Successes can be Very Suboptimal
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #304
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #305
Neural Conservation Laws: A Divergence-Free Perspective
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #306
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #307
Continual Learning In Environments With Polynomial Mixing Times
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #308
Non-Linear Coordination Graphs
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #309
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #310
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #311
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #312
On the Complexity of Adversarial Decision Making
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #313
Convergence beyond the over-parameterized regime using Rayleigh quotients
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #314
An Algorithm for Learning Switched Linear Dynamics from Data
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #315
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #316
Cluster Randomized Designs for One-Sided Bipartite Experiments
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #317
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #318
Order-Invariant Cardinality Estimators Are Differentially Private
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #319
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #320
Generalization Error Bounds on Deep Learning with Markov Datasets
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #321
Autoinverse: Uncertainty Aware Inversion of Neural Networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #322
Optimal Transport of Classifiers to Fairness
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #323
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #324
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #325
On Sample Optimality in Personalized Collaborative and Federated Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #326
Active Ranking without Strong Stochastic Transitivity
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #327
How Sampling Impacts the Robustness of Stochastic Neural Networks
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #328
Convexity Certificates from Hessians
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #329
Optimal Binary Classification Beyond Accuracy
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #330
Sample Constrained Treatment Effect Estimation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #331
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #332
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
[
Slides]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #333
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #334
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #335
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #336
Active Exploration for Inverse Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #337
A Unified Framework for Deep Symbolic Regression
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #338
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #339
CARD: Classification and Regression Diffusion Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #340
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #341
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #342
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
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Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #442
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #441
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #440
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #439
Template based Graph Neural Network with Optimal Transport Distances
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #438
A composable machine-learning approach for steady-state simulations on high-resolution grids
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #437
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #436
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #435
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #434
Stability and Generalization for Markov Chain Stochastic Gradient Methods
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #433
Learning Energy Networks with Generalized Fenchel-Young Losses
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #432
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #431
Equivariant Networks for Crystal Structures
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #430
Text Classification with Born's Rule
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #429
A Probabilistic Graph Coupling View of Dimension Reduction
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #428
Laplacian Autoencoders for Learning Stochastic Representations
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #426
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #425
Variational Model Perturbation for Source-Free Domain Adaptation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #424
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #423
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #422
EcoFormer: Energy-Saving Attention with Linear Complexity
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #421
Dataset Distillation using Neural Feature Regression
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #420
Iterative Scene Graph Generation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #419
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #418
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #417
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #416
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #415
Global Convergence and Stability of Stochastic Gradient Descent
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #414
Regret Bounds for Information-Directed Reinforcement Learning
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #413
Truncated Matrix Power Iteration for Differentiable DAG Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #412
Error Analysis of Tensor-Train Cross Approximation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #411
Efficient Risk-Averse Reinforcement Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #409
Learning Robust Dynamics through Variational Sparse Gating
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #408
DiSC: Differential Spectral Clustering of Features
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #407
WeightedSHAP: analyzing and improving Shapley based feature attributions
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #406
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #404
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #403
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #402
A Unified Framework for Alternating Offline Model Training and Policy Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #502
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #503
Gradient Estimation with Discrete Stein Operators
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #504
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #506
Root Cause Analysis of Failures in Microservices through Causal Discovery
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #507
Low-rank Optimal Transport: Approximation, Statistics and Debiasing
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #508
Learning single-index models with shallow neural networks
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #509
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #510
Efficient identification of informative features in simulation-based inference
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #511
Exact learning dynamics of deep linear networks with prior knowledge
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #512
Adversarial training for high-stakes reliability
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #513
NaturalProver: Grounded Mathematical Proof Generation with Language Models
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #514
Open-Ended Reinforcement Learning with Neural Reward Functions
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #515
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #516
Memory safe computations with XLA compiler
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #517
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #518
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #519
Data augmentation for efficient learning from parametric experts
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #520
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #521
Deep Surrogate Assisted Generation of Environments
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #522
SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #523
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #524
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #525
Fine-tuning language models to find agreement among humans with diverse preferences
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #526
A Unified Sequence Interface for Vision Tasks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #527
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #528
Deep Generalized Schrödinger Bridge
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #529
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #530
Distributionally Robust Optimization with Data Geometry
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #531
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #532
On Efficient Online Imitation Learning via Classification
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #533
Group Meritocratic Fairness in Linear Contextual Bandits
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #534
Subspace Recovery from Heterogeneous Data with Non-isotropic Noise
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #535
Knowledge Distillation: Bad Models Can Be Good Role Models
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #536
Active Labeling: Streaming Stochastic Gradients
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #537
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #538
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #539
Near-Optimal No-Regret Learning Dynamics for General Convex Games
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #540
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #541
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #542
Global Convergence of Federated Learning for Mixed Regression
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #642
Kernel similarity matching with Hebbian networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #641
Improved techniques for deterministic l2 robustness
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #640
Matryoshka Representation Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #639
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #638
Wavelet Feature Maps Compression for Image-to-Image CNNs
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #637
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #636
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #635
Semantic Diffusion Network for Semantic Segmentation
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #634
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #633
CUP: Critic-Guided Policy Reuse
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #632
XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #631
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #630
Distilling Representations from GAN Generator via Squeeze and Span
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #629
SHINE: SubHypergraph Inductive Neural nEtwork
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #628
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #627
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #626
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #625
LION: Latent Point Diffusion Models for 3D Shape Generation
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #624
Learning low-dimensional generalizable natural features from retina using a U-net
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #623
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #622
The Pitfalls of Regularization in Off-Policy TD Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #621
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #620
Online Training Through Time for Spiking Neural Networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #619
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #618
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #617
Single Loop Gaussian Homotopy Method for Non-convex Optimization
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #616
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #615
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #614
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #613
Spectral Bias in Practice: The Role of Function Frequency in Generalization
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #612
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #611
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #610
Giving Feedback on Interactive Student Programs with Meta-Exploration
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #609
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #608
Few-Shot Continual Active Learning by a Robot
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #607
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #606
VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #605
Retrieval-Augmented Diffusion Models
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #604
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #603
Toward Robust Spiking Neural Network Against Adversarial Perturbation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #602
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #701
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #702
Video-based Human-Object Interaction Detection from Tubelet Tokens
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #703
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #704
Hierarchical Lattice Layer for Partially Monotone Neural Networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #705
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #706
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #707
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #708
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #709
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #710
Learning Contrastive Embedding in Low-Dimensional Space
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #711
Few-Shot Fast-Adaptive Anomaly Detection
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #712
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #713
Exploration via Planning for Information about the Optimal Trajectory
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #714
Theoretical analysis of deep neural networks for temporally dependent observations
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #715
Provably sample-efficient RL with side information about latent dynamics
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #716
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #717
Truncated proposals for scalable and hassle-free simulation-based inference
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #718
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #719
Policy Optimization with Linear Temporal Logic Constraints
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #720
Fast Instrument Learning with Faster Rates
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #722
Outlier-Robust Sparse Estimation via Non-Convex Optimization
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #723
Gradient Methods Provably Converge to Non-Robust Networks
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #724
Operator Splitting Value Iteration
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #725
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #726
Learning from Stochastically Revealed Preference
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #727
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #728
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #729
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #730
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #732
Poisson Flow Generative Models
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #734
Multi-agent Dynamic Algorithm Configuration
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #735
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #736
A Theory of PAC Learnability under Transformation Invariances
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #738
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #739
Biologically plausible solutions for spiking networks with efficient coding
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #740
Phase transitions in when feedback is useful
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #741
Simple and Optimal Greedy Online Contention Resolution Schemes
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #742
Private Estimation with Public Data
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #842
Robustness to Label Noise Depends on the Shape of the Noise Distribution
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #841
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #840
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #243
Minimax Optimal Online Imitation Learning via Replay Estimation
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #838
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #837
List-Decodable Sparse Mean Estimation
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #836
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #835
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #834
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest
[
Slides]
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #833
Neural Abstractions
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #831
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
[
Poster]
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #830
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions
[
OpenReview]
Poster
Tue Nov 29 09:00 AM -- 11:00 AM (PST) @ Hall J #829
The Query