ICML

All Work

Converting several audio streams into one voice makes it easier for AI to learn
Converting several audio streams into one voice makes it easier for AI to learn
IBM Research
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
 
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
 
Differentiable Top-k Classification Learning
Differentiable Top-k Classification Learning
 
Entropic Causal Inference: Graph Identifiability
Entropic Causal Inference: Graph Identifiability
 
Selective Regression under Fairness Criteria
Selective Regression under Fairness Criteria
 
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
 
Prompting Decision Transformer for Few-shot Policy Generalization
Prompting Decision Transformer for Few-shot Policy Generalization
 
CONTENTVEC: An Improved Self-Supervised Speech Representation by Disentangling Speakers
CONTENTVEC: An Improved Self-Supervised Speech Representation by Disentangling Speakers
 
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
 
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
 
IBM, MIT and Harvard release “Common Sense AI” dataset at ICML 2021
IBM, MIT and Harvard release “Common Sense AI” dataset at ICML 2021
IBM Research
Can you teach AI common sense?
Can you teach AI common sense?
VentureBeat
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
 
Model Fusion with Kullback–Leibler Divergence
Model Fusion with Kullback–Leibler Divergence
 
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
 
Curvature-corrected learning dynamics in deep neural networks
Curvature-corrected learning dynamics in deep neural networks
 
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
 
Linear Mode Connectivity and The Lottery Ticket Hypothesis
Linear Mode Connectivity and The Lottery Ticket Hypothesis
 
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
 
Do GANs always have Nash equilibria?
Do GANs always have Nash equilibria?
 
Causal structure discovery from distributions arising from mixtures of DAGs
Causal structure discovery from distributions arising from mixtures of DAGs
 
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
 
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
 
Fair Selective Classification Via Sufficiency
Fair Selective Classification Via Sufficiency
 
AGENT: A Benchmark for Core Psychological Reasoning
AGENT: A Benchmark for Core Psychological Reasoning
 
Global Prosody Style Transfer Without Text Transcriptions
Global Prosody Style Transfer Without Text Transcriptions
 
Auto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
Auto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
 
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
 
Outlier-Robust Optimal Transport
Outlier-Robust Optimal Transport
 
Adversarial Option-Aware Hierarchical Imitation Learning
Adversarial Option-Aware Hierarchical Imitation Learning
 
Bio-Inspired Hashing for Unsupervised Similarity Search
Bio-Inspired Hashing for Unsupervised Similarity Search