Research
 

Efficient AI

All Work

MIT presents AI frameworks that compress models and encourage agents to explore
MIT presents AI frameworks that compress models and encourage agents to explore
VentureBeat
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Reducing AI’s carbon footprint
Reducing AI’s carbon footprint
MIT News
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MIT aims for energy efficiency in AI model training
MIT aims for energy efficiency in AI model training
Venture Beat
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Why Gradient Clipping accelerates training for neural networks
Why Gradient Clipping accelerates training for neural networks
Optimization
Efficient AI
AI Could Save the World, If It Doesn’t Ruin the Environment First
AI Could Save the World, If It Doesn’t Ruin the Environment First
PC Magazine
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Learning Rate Rewinding for elegant neural network pruning
Learning Rate Rewinding for elegant neural network pruning
Efficient AI
Deep Learning
Once for All: Train One Network and Specialize it for Efficient Deployment
Once for All: Train One Network and Specialize it for Efficient Deployment
Efficient AI
ICLR
Adversarial Robustness vs Model Compression, or Both?
Adversarial Robustness vs Model Compression, or Both?
Robustness
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
Efficient AI
Deep Learning
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Computer Vision
Transfer Learning
TSM: Temporal Shift Module for Efficient Video Understanding
TSM: Temporal Shift Module for Efficient Video Understanding
Efficient AI
Computer Vision
Automating machine learning with a joint selection framework
Automating machine learning with a joint selection framework
AutoML
Efficient AI
Big-Little-Video-Net: Work smarter, not harder, for video understanding
Big-Little-Video-Net: Work smarter, not harder, for video understanding
Computer Vision
 
Causal inference is expensive. Here’s an algorithm for fixing that.
Causal inference is expensive. Here’s an algorithm for fixing that.
Causal Inference
 
New tricks from old dogs: multi-source transfer learning
New tricks from old dogs: multi-source transfer learning
Transfer Learning
Explainability
Defensive Quantization: When Efficiency Meets Robustness
Defensive Quantization: When Efficiency Meets Robustness
Efficient AI
Robustness
Experimental Design for Cost-Aware Learning of Causal Graphs
Experimental Design for Cost-Aware Learning of Causal Graphs
Causal Inference
 
Deriving Machine Attention from Human Rationales
Deriving Machine Attention from Human Rationales
Deep Rationalization
Natural Language Processing
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Efficient AI
Deep Learning