5 citations · 9 across the 5 of their papers we have counts for
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cs.LG2022★ 2 cited
Abstraction for Deep Reinforcement Learning
Murray Shanahan, Melanie Mitchell
We characterise the problem of abstraction in the context of deep reinforcement learning. Various well established approaches to analogical reasoning and associative memory might b…
cs.LG2021★ 1 cited
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers
Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
Neural networks trained on visual data are well-known to be vulnerable to often imperceptible adversarial perturbations. The reasons for this vulnerability are still being debated…