# ICML

All Work

From physics to generative AI: An AI model for advanced pattern generation

From physics to generative AI: An AI model for advanced pattern generation

MIT News

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A faster way to teach a robot

A faster way to teach a robot

MIT News

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Learning the language of molecules to predict their properties

Learning the language of molecules to predict their properties

MIT News

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ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction

ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction

Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data

Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data

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

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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

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

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Can you teach AI common sense?

Can you teach AI common sense?

VentureBeat

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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

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

Neural Network Control Policy Verification with Persistent Adversarial Perturbations

Neural Network Control Policy Verification with Persistent Adversarial Perturbations

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