Learning Action and Reasoning-Centric Image Editing from Videos and Simulations Paper • 2407.03471 • Published Jul 3 • 28
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? Paper • 2406.04391 • Published Jun 6 • 7
Continual Pre-Training of Large Language Models: How to (re)warm your model? Paper • 2308.04014 • Published Aug 8, 2023 • 2
$μ$LO: Compute-Efficient Meta-Generalization of Learned Optimizers Paper • 2406.00153 • Published May 31 • 10
Simple and Scalable Strategies to Continually Pre-train Large Language Models Paper • 2403.08763 • Published Mar 13 • 49
Simple and Scalable Strategies to Continually Pre-train Large Language Models Paper • 2403.08763 • Published Mar 13 • 49
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research Paper • 2011.14826 • Published Nov 20, 2020
In deep reinforcement learning, a pruned network is a good network Paper • 2402.12479 • Published Feb 19 • 18
Bigger, Better, Faster: Human-level Atari with human-level efficiency Paper • 2305.19452 • Published May 30, 2023 • 4