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03/16/2023
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Progress in machine learning has been driven in large part by massive in...
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03/10/2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
The conventional recipe for maximizing model accuracy is to (1) train mu...
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02/29/2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Batch normalization (BatchNorm) has become an indispensable tool for tra...
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06/09/2019
The Generalization-Stability Tradeoff in Neural Network Pruning
Pruning neural network parameters to reduce model size is an area of muc...
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07/03/2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Recent progress in artificial intelligence through reinforcement learnin...
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04/12/2018
