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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Unfolding Recursive Autoencoders for Paraphrase Detection
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Efficient coding with a population of Linear-Nonlinear neurons
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Probabilistic Joint Image Segmentation and Labeling
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
On the Analysis of Multi-Channel Neural Spike Data
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Variational Learning for Recurrent Spiking Networks
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Understanding the Intrinsic Memorability of Images
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Sparse recovery by thresholded non-negative least squares
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Selective Prediction of Financial Trends with Hidden Markov Models
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
RTRMC: A Riemannian trust-region method for low-rank matrix completion
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Stochastic convex optimization with bandit feedback
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Testing a Bayesian Measure of Representativeness Using a Large Image Database
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Select and Sample: A Model of Efficient Neural Inference and Learning
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Scalable Training of Mixture Models via Coresets
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Reconstructing Patterns of Information Diffusion from Incomplete Observations
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Randomized Algorithms for Comparison-based Search
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Optimal learning rates for least squares SVMs using Gaussian kernels
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Practical Variational Inference for Neural Networks
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
On Learning Discrete Graphical Models using Greedy Methods
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Minimax Localization of Structural Information in Large Noisy Matrices
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning person-object interactions for action recognition in still images
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning large-margin halfspaces with more malicious noise
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Large-Scale Sparse Principal Component Analysis with Application to Text Data
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
k-NN Regression Adapts to Local Intrinsic Dimension
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Hierarchically Supervised Latent Dirichlet Allocation
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning a Tree of Metrics with Disjoint Visual Features
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Improving Topic Coherence with Regularized Topic Models
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Heavy-tailed Distances for Gradient Based Image Descriptors
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Improved Algorithms for Linear Stochastic Bandits
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Iterative Learning for Reliable Crowdsourcing Systems
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Exploiting spatial overlap to efficiently compute appearance distances between image windows
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
From Bandits to Experts: On the Value of Side-Observations
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Empirical models of spiking in neural populations
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Efficient Online Learning via Randomized Rounding
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Continuous-Time Regression Models for Longitudinal Networks
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Dimensionality Reduction Using the Sparse Linear Model
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Clustered Multi-Task Learning Via Alternating Structure Optimization
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Complexity of Inference in Latent Dirichlet Allocation
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Im2Text: Describing Images Using 1 Million Captioned Photographs
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
An ideal observer model for identifying the reference frame of objects
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Approximating Semidefinite Programs in Sublinear Time
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A Collaborative Mechanism for Crowdsourcing Prediction Problems
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A rational model of causal inference with continuous causes
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Active Classification based on Value of Classifier
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A Machine Learning Approach to Predict Chemical Reactions
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A concave regularization technique for sparse mixture models
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions
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Poster
Wed Dec 14 08:45 AM -- 02:59 PM (PST)
Learning sparse inverse covariance matrices in the presence of confounders
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