Machine Learning

All Work

Debugging foundation models for bias
Debugging foundation models for bias
IBM Research
Elsa Olivetti and Rafael Gomez-Bombarelli develop new recipes for new materials
Elsa Olivetti and Rafael Gomez-Bombarelli develop new recipes for new materials
MIT Spectrum
Design for anything and everything
Design for anything and everything
MIT Spectrum
Neurodegenerative disease can progress in newly identified patterns
Neurodegenerative disease can progress in newly identified patterns
MIT News
AI that can learn the patterns of human language
AI that can learn the patterns of human language
MIT News
This deep learning technique solves one of the tough challenges of robotics
This deep learning technique solves one of the tough challenges of robotics
BD TechTalks
Does this artificial intelligence think like a human?
Does this artificial intelligence think like a human?
MIT News
Regina Barzilay elected to the AIMBE College of Fellows
Regina Barzilay elected to the AIMBE College of Fellows
The American Institute for Medical and Biological Engineering
Seven from MIT named 2022 Sloan Research Fellows
Seven from MIT named 2022 Sloan Research Fellows
MIT News
TinyML is bringing neural networks to small microcontrollers
TinyML is bringing neural networks to small microcontrollers
TechTalks
AI Researchers Fight Noise by Turning to Biology
AI Researchers Fight Noise by Turning to Biology
Quanta Magazine
Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices
Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices
MIT News
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
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
 
Linear Mode Connectivity and The Lottery Ticket Hypothesis
Linear Mode Connectivity and The Lottery Ticket Hypothesis
 
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
 
Adversarial T-shirt! Evading Person Detectors in A Physical World
Adversarial T-shirt! Evading Person Detectors in A Physical World
 
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
 
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
 
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
 
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
 
Wasserstein Style Transfer
Wasserstein Style Transfer
 
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
 
Causal structure discovery from distributions arising from mixtures of DAGs
Causal structure discovery from distributions arising from mixtures of DAGs
 
Ordering-based causal structure learning in the presence of latent variables
Ordering-based causal structure learning in the presence of latent variables
 
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
 
Generating Adversarial Computer Programs using Optimized Obfuscations
Generating Adversarial Computer Programs using Optimized Obfuscations
 
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
 
Self-Progressing Robust Training
Self-Progressing Robust Training
 
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
 
Hidden Cost of Randomized Smoothing
Hidden Cost of Randomized Smoothing
 
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.
 
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
 
Learning Task Decomposition with Ordered Memory Policy Network
Learning Task Decomposition with Ordered Memory Policy Network
 
Augmenting Policy Learning with Routines Discovered from a Demonstration
Augmenting Policy Learning with Routines Discovered from a Demonstration
 
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
 
Individually Fair Gradient Boosting
Individually Fair Gradient Boosting
 
Statistical inference for individual fairness
Statistical inference for individual fairness
 
Black-box Explanation of Object Detectors via Saliency Maps
Black-box Explanation of Object Detectors via Saliency Maps
 
AGENT: A Benchmark for Core Psychological Reasoning
AGENT: A Benchmark for Core Psychological Reasoning
 
Adversarial Option-Aware Hierarchical Imitation Learning
Adversarial Option-Aware Hierarchical Imitation Learning
 
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
Can a Fruit Fly Learn Word Embeddings?
Can a Fruit Fly Learn Word Embeddings?
 
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
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
Alternative Learning Methods 01 with Dmitry Krotov – 015
Alternative Learning Methods 01 with Dmitry Krotov – 015
Machine Learning Cafe
Shrinking deep learning’s carbon footprint
Shrinking deep learning’s carbon footprint
MIT News
Marshaling artificial intelligence in the fight against Covid-19
Marshaling artificial intelligence in the fight against Covid-19
MIT News
Fast and efficient black-box testing for AI cybersecurity
Fast and efficient black-box testing for AI cybersecurity
 
Alleviating label switching with optimal transport
Alleviating label switching with optimal transport