# Machine Learning

All Work

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

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Understanding Behavior of Clinical Models under Domain Shifts

Understanding Behavior of Clinical Models under Domain Shifts

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving

High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation

High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation

Neural Network Control Policy Verification with Persistent Adversarial Perturbations

Neural Network Control Policy Verification with Persistent Adversarial Perturbations

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning

How machine learning could curb food waste

How machine learning could curb food waste

Academic Times

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Researchers Figured Out How to Fit More AI Than Ever onto Internet of Things Microchips

Researchers Figured Out How to Fit More AI Than Ever onto Internet of Things Microchips

Morning Brew

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IBM, Refinitiv Partner on Machine Learning Project to Better Understand Market Correlations

IBM, Refinitiv Partner on Machine Learning Project to Better Understand Market Correlations

WatersTechnology

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Alternative Learning Methods 01 with Dmitry Krotov – 015

Alternative Learning Methods 01 with Dmitry Krotov – 015

Machine Learning Cafe

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Shrinking deep learning’s carbon footprint

Shrinking deep learning’s carbon footprint

MIT News

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Marshaling artificial intelligence in the fight against Covid-19

Marshaling artificial intelligence in the fight against Covid-19

MIT News

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