7 citations · 17 across the 4 of their papers we have counts for
4 papers
Protecting against simultaneous data poisoning attacks
Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal +1
Current backdoor defense methods are evaluated against a single attack at a time. This is unrealistic, as powerful machine learning systems are trained on large datasets scraped fr…
An Empirical Investigation of Representation Learning for Imitation
Xin Chen, Sam Toyer, Cody Wild +9
Imitation learning often needs a large demonstration set in order to handle the full range of situations that an agent might find itself in during deployment. However, collecting e…
RAFT: A Real-World Few-Shot Text Classification Benchmark
Neel Alex, Eli Lifland, Lewis Tunstall +9
Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classificati…
The MineRL BASALT Competition on Learning from Human Feedback
Rohin Shah, Cody Wild, Steven H. Wang +10
The last decade has seen a significant increase of interest in deep learning research, with many public successes that have demonstrated its potential. As such, these systems are n…