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Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1003
Recovery and Generalization in Over-Realized Dictionary Learning
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1001
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1002
Ambiguous Images With Human Judgments for Robust Visual Event Classification
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #101
Self-Supervised Learning with an Information Maximization Criterion
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #103
PAC Prediction Sets for Meta-Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #105
BiT: Robustly Binarized Multi-distilled Transformer
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #107
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #108
VICRegL: Self-Supervised Learning of Local Visual Features
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #109
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #110
Disentangling Transfer in Continual Reinforcement Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #111
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #112
TUSK: Task-Agnostic Unsupervised Keypoints
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #113
Generalization Gap in Amortized Inference
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #114
Online Deep Equilibrium Learning for Regularization by Denoising
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #115
Deep invariant networks with differentiable augmentation layers
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #116
VICE: Variational Interpretable Concept Embeddings
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #117
A contrastive rule for meta-learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #118
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #119
A Contrastive Framework for Neural Text Generation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #120
Redeeming intrinsic rewards via constrained optimization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #121
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #122
Model Preserving Compression for Neural Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #123
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
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Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #124
Robust Binary Models by Pruning Randomly-initialized Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #125
Training Spiking Neural Networks with Local Tandem Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #126
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #127
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #128
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #129
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #130
Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #131
Self-Aware Personalized Federated Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #133
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #134
Towards Understanding the Mixture-of-Experts Layer in Deep Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #135
Improved Feature Distillation via Projector Ensemble
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #136
Two-Stream Network for Sign Language Recognition and Translation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #137
Knowledge Distillation from A Stronger Teacher
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #138
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #139
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #140
Feature-Proxy Transformer for Few-Shot Segmentation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #141
Mask Matching Transformer for Few-Shot Segmentation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #142
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #242
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #241
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #240
Selective compression learning of latent representations for variable-rate image compression
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #239
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #238
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #237
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #236
Revisiting Heterophily For Graph Neural Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #235
Distributionally robust weighted k-nearest neighbors
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #234
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #233
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #232
Inductive Logical Query Answering in Knowledge Graphs
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #231
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #230
K-LITE: Learning Transferable Visual Models with External Knowledge
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #229
Diffusion Visual Counterfactual Explanations
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #228
Graph Neural Networks are Dynamic Programmers
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #227
Assistive Teaching of Motor Control Tasks to Humans
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #226
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #225
Black-box coreset variational inference
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #224
Supervising the Multi-Fidelity Race of Hyperparameter Configurations
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #223
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #222
Amortized Projection Optimization for Sliced Wasserstein Generative Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #221
CoNSoLe: Convex Neural Symbolic Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #220
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #219
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #218
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #217
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #216
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #215
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #214
Motion Transformer with Global Intention Localization and Local Movement Refinement
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #213
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #212
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #211
Improving Multi-Task Generalization via Regularizing Spurious Correlation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #210
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #209
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #208
Latency-aware Spatial-wise Dynamic Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #207
Why Do Artificially Generated Data Help Adversarial Robustness
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #206
Pre-activation Distributions Expose Backdoor Neurons
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #205
Recovering Private Text in Federated Learning of Language Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #204
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #203
Towards Robust Blind Face Restoration with Codebook Lookup Transformer
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #202
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #201
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #200
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #300
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #302
Batch size-invariance for policy optimization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #303
Top Two Algorithms Revisited
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #304
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #305
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #306
When does return-conditioned supervised learning work for offline reinforcement learning?
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #307
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #308
TaSIL: Taylor Series Imitation Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #309
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #310
Efficient Active Learning with Abstention
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #311
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #312
Integral Probability Metrics PAC-Bayes Bounds
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #313
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #314
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #315
Nonstationary Dual Averaging and Online Fair Allocation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #316
The price of unfairness in linear bandits with biased feedback
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #317
Augmenting Online Algorithms with $\varepsilon$-Accurate Predictions
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #318
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #319
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #320
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #321
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #322
On the Parameterization and Initialization of Diagonal State Space Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #323
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #324
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #325
Near-Optimal Multi-Agent Learning for Safe Coverage Control
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #326
Deep Counterfactual Estimation with Categorical Background Variables
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #327
Using Partial Monotonicity in Submodular Maximization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #328
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #329
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #330
Bellman Residual Orthogonalization for Offline Reinforcement Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #331
Riemannian Diffusion Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #332
Formulating Robustness Against Unforeseen Attacks
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #333
Characterizing Datapoints via Second-Split Forgetting
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #334
Fairness Transferability Subject to Bounded Distribution Shift
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #335
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #336
Simulation-guided Beam Search for Neural Combinatorial Optimization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #337
Stars: Tera-Scale Graph Building for Clustering and Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #338
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #339
Simultaneous Missing Value Imputation and Structure Learning with Groups
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #340
Signal Processing for Implicit Neural Representations
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #341
Regularized Molecular Conformation Fields
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #342
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #442
When Does Group Invariant Learning Survive Spurious Correlations?
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #441
Diverse Weight Averaging for Out-of-Distribution Generalization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #440
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #439
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #438
Improving Certified Robustness via Statistical Learning with Logical Reasoning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #437
Cooperative Distribution Alignment via JSD Upper Bound
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #436
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #435
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #434
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #433
A Kernelised Stein Statistic for Assessing Implicit Generative Models
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #432
Effects of Data Geometry in Early Deep Learning
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Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #431
Deep Differentiable Logic Gate Networks
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OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #430
Exploring the Latent Space of Autoencoders with Interventional Assays
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #429
Semi-Discrete Normalizing Flows through Differentiable Tessellation
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #427
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #426
Generative multitask learning mitigates target-causing confounding
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #425
Adversarial Task Up-sampling for Meta-learning
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #424
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #423
Entropy-Driven Mixed-Precision Quantization for Deep Network Design
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #422
Efficient and Effective Augmentation Strategy for Adversarial Training
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #421
Dataset Inference for Self-Supervised Models
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #420
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #419
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #418
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #417
Smoothed Embeddings for Certified Few-Shot Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #416
Instability and Local Minima in GAN Training with Kernel Discriminators
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #415
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #414
On Kernelized Multi-Armed Bandits with Constraints
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #413
Target alignment in truncated kernel ridge regression
[
Slides]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #412
Local Bayesian optimization via maximizing probability of descent
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #411
MEMO: Test Time Robustness via Adaptation and Augmentation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #410
Latent Planning via Expansive Tree Search
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #409
Efficient and Effective Optimal Transport-Based Biclustering
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #408
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #407
On the Adversarial Robustness of Mixture of Experts
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #406
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #405
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #404
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #403
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #402
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #502
Amortized Proximal Optimization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #503
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #504
On the difficulty of learning chaotic dynamics with RNNs
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #505
Learning to Configure Computer Networks with Neural Algorithmic Reasoning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #506
Autoregressive Search Engines: Generating Substrings as Document Identifiers
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #507
Efficient learning of nonlinear prediction models with time-series privileged information
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #508
Revisiting Active Sets for Gaussian Process Decoders
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #509
Tractable Function-Space Variational Inference in Bayesian Neural Networks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #510
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #511
Use-Case-Grounded Simulations for Explanation Evaluation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #512
Autoformalization with Large Language Models
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #513
VCT: A Video Compression Transformer
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #514
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #516
Kernel Interpolation with Sparse Grids
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #517
Adaptive Interest for Emphatic Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #518
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #519
Towards Improving Calibration in Object Detection Under Domain Shift
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #520
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #521
Model-Based Imitation Learning for Urban Driving
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #522
Repairing Neural Networks by Leaving the Right Past Behind
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #523
Meta-Reinforcement Learning with Self-Modifying Networks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #524
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #525
NeuForm: Adaptive Overfitting for Neural Shape Editing
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #526
Semantic uncertainty intervals for disentangled latent spaces
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #527
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #528
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #529
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #530
Multi-Objective Deep Learning with Adaptive Reference Vectors
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #531
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #532
Envy-free Policy Teaching to Multiple Agents
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #533
When are Local Queries Useful for Robust Learning?
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #534
Generalization for multiclass classification with overparameterized linear models
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #535
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #536
Algorithms that Approximate Data Removal: New Results and Limitations
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #537
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #538
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #539
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #540
Provably Efficient Model-Free Constrained RL with Linear Function Approximation
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #541
Convergence for score-based generative modeling with polynomial complexity
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #542
Efficient Dataset Distillation using Random Feature Approximation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #642
The Effects of Regularization and Data Augmentation are Class Dependent
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #641
EpiGRAF: Rethinking training of 3D GANs
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #640
Insights into Pre-training via Simpler Synthetic Tasks
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #639
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #638
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #637
Neural Shape Deformation Priors
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #636
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #635
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #634
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #633
SKFlow: Learning Optical Flow with Super Kernels
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #632
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #631
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #630
3D Concept Grounding on Neural Fields
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #629
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #628
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #627
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #626
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #625
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #624
On the Learning Mechanisms in Physical Reasoning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #623
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #622
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #621
Geodesic Graph Neural Network for Efficient Graph Representation Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #620
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #619
SignRFF: Sign Random Fourier Features
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #618
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #617
What is a Good Metric to Study Generalization of Minimax Learners?
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #616
Non-stationary Bandits with Knapsacks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #615
Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #614
Learning on Arbitrary Graph Topologies via Predictive Coding
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #613
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #612
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #611
Patching open-vocabulary models by interpolating weights
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #610
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #609
Learning Options via Compression
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #608
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #607
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
[
Slides]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #606
Rethinking Generalization in Few-Shot Classification
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #605
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #604
Deep Fourier Up-Sampling
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #603
Provable Subspace Identification Under Post-Nonlinear Mixtures
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #602
Distributed Distributionally Robust Optimization with Non-Convex Objectives
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #701
GhostNetV2: Enhance Cheap Operation with Long-Range Attention
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #702
Exploiting Semantic Relations for Glass Surface Detection
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #703
A Simple Approach to Automated Spectral Clustering
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #704
Hiding Images in Deep Probabilistic Models
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #705
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #706
Large Language Models are Zero-Shot Reasoners
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #707
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #708
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #709
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #710
A Simple Decentralized Cross-Entropy Method
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #711
The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #712
Active Learning with Safety Constraints
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #713
A PAC-Bayesian Generalization Bound for Equivariant Networks
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #714
When to Intervene: Learning Optimal Intervention Policies for Critical Events
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #715
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #716
Efficient and Modular Implicit Differentiation
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #717
Detection and Localization of Changes in Conditional Distributions
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #718
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #719
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #720
Robust Streaming PCA
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #722
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #723
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #724
Off-Policy Evaluation with Policy-Dependent Optimization Response
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #725
Bayesian Risk Markov Decision Processes
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #726
Variational inference via Wasserstein gradient flows
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #727
Alternating Mirror Descent for Constrained Min-Max Games
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #728
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #729
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #730
Mean Estimation with User-level Privacy under Data Heterogeneity
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #731
Intrinsic dimensionality estimation using Normalizing Flows
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #732
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #734
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #735
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #736
Explainable Reinforcement Learning via Model Transforms
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #737
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #738
Neural Circuit Architectural Priors for Embodied Control
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #739
Action-modulated midbrain dopamine activity arises from distributed control policies
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #740
When are Offline Two-Player Zero-Sum Markov Games Solvable?
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #741
Private and Communication-Efficient Algorithms for Entropy Estimation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #742
Approximate Value Equivalence
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #842
Size and depth of monotone neural networks: interpolation and approximation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #841
Characterization of Excess Risk for Locally Strongly Convex Population Risk
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #840
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #839
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #838
Optimal Rates for Regularized Conditional Mean Embedding Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #837
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #836
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #835
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #834
Generic bounds on the approximation error for physics-informed (and) operator learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #833
Zero-Sum Stochastic Stackelberg Games
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #831
Fair and Efficient Allocations Without Obvious Manipulations
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #830
Faster Linear Algebra for Distance Matrices
[
Slides]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #829
SQ Lower Bounds for Learning Single Neurons with Massart Noise
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #828
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #827
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #826
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #825
Adam Can Converge Without Any Modification On Update Rules
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #824
Oracle-Efficient Online Learning for Smoothed Adversaries
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #823
Active Learning of Classifiers with Label and Seed Queries
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #822
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #821
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #820
Improved Coresets for Euclidean $k$-Means
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #819
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
[
Slides]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #818
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #817
Sequential Information Design: Learning to Persuade in the Dark
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #816
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #815
Exponential Separations in Symmetric Neural Networks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #814
Distributional Convergence of the Sliced Wasserstein Process
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #813
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #812
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #811
On Margin Maximization in Linear and ReLU Networks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #810
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #809
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #808
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #807
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #806
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #804
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #803
Recursive Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #802
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #801
PDSketch: Integrated Domain Programming, Learning, and Planning
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #800
Human-AI Shared Control via Policy Dissection
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #900
Embodied Scene-aware Human Pose Estimation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #901
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #902
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #903
Semi-Supervised Generative Models for Multiagent Trajectories
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #904
Scale-invariant Learning by Physics Inversion
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #905
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #906
Are Defenses for Graph Neural Networks Robust?
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #907
Human-AI Collaborative Bayesian Optimisation
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #908
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #909
Modular Flows: Differential Molecular Generation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #910
Error Correction Code Transformer
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #911
BYOL-Explore: Exploration by Bootstrapped Prediction
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #912
TransBoost: Improving the Best ImageNet Performance using Deep Transduction
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #913
MorphTE: Injecting Morphology in Tensorized Embeddings
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #914
Attention-based Neural Cellular Automata
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #915
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #916
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #917
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #918
Redistribution of Weights and Activations for AdderNet Quantization
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #919
Eliciting Thinking Hierarchy without a Prior
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #920
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #921
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #922
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #923
Dataset Distillation via Factorization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #924
Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #925
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #926
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #927
Large-Scale Retrieval for Reinforcement Learning
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #928
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #929
Chain of Thought Imitation with Procedure Cloning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #930
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #931
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #932
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #933
Nonlinear MCMC for Bayesian Machine Learning
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #934
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #935
Fast Algorithms for Packing Proportional Fairness and its Dual
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #936
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #937
Robust Generalized Method of Moments: A Finite Sample Viewpoint
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #938
Adapting to Online Label Shift with Provable Guarantees
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #939
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #940
Reconstruction on Trees and Low-Degree Polynomials
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #941
Benign Underfitting of Stochastic Gradient Descent
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #942
Using natural language and program abstractions to instill human inductive biases in machines
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1042
Revisiting Injective Attacks on Recommender Systems
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1041
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1040
SIXO: Smoothing Inference with Twisted Objectives
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1039
Robust Graph Structure Learning via Multiple Statistical Tests
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1037
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1036
Optimal Comparator Adaptive Online Learning with Switching Cost
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1035
Supervised Training of Conditional Monge Maps
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1034
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1033
CGLB: Benchmark Tasks for Continual Graph Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1032
ADBench: Anomaly Detection Benchmark
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1031
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1030
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1029
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1028
Dungeons and Data: A Large-Scale NetHack Dataset
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1027
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1026
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1025
EgoTaskQA: Understanding Human Tasks in Egocentric Videos
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1024
SCAMPS: Synthetics for Camera Measurement of Physiological Signals
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1023
Robustness Disparities in Face Detection
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1022
Long Range Graph Benchmark
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1021
CLEVRER-Humans: Describing Physical and Causal Events the Human Way
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1020
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1019
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1018
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1017
Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1016
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1015
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1014
Video compression dataset and benchmark of learning-based video-quality metrics
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1013
TweetNERD - End to End Entity Linking Benchmark for Tweets
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #143
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1012
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1011
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments
[
Slides]
[
Poster]
[
OpenReview]
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1010
(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1009
A Bregman Learning Framework for Sparse Neural Networks
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1008
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1007
A Primer for Neural Arithmetic Logic Modules
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1006
[Re] Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1005
[Re] A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space
Poster
Thu Dec 01 02:00 PM -- 04:00 PM (PST) @ Hall J #1004
[Re] Replication study of 'Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling'
