activity
20142026
most citedOvercoming catastrophic forgetting in neural networks

7.8k citations · 10.3k across the 19 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.LG2018★ 51 cited

Relational Forward Models for Multi-Agent Learning

Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano +5

The behavioral dynamics of multi-agent systems have a rich and orderly structure, which can be leveraged to understand these systems, and to improve how artificial agents learn to…

cs.LG2018★ 693 cited

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning

Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning +15

Recent progress in artificial intelligence through reinforcement learning (RL) has shown great success on increasingly complex single-agent environments and two-player turn-based g…

cs.CV2018★ 16 cited

Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs

Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos +1

Many of our core assumptions about how neural networks operate remain empirically untested. One common assumption is that convolutional neural networks need to be stable to small t…

cs.AI2018★ 66 cited

Machine Theory of Mind

Neil C. Rabinowitz, Frank Perbet, H. Francis Song +3

Theory of mind (ToM; Premack & Woodruff, 1978) broadly refers to humans' ability to represent the mental states of others, including their desires, beliefs, and intentions. We prop…

stat.ML2018★ 234 cited

On the importance of single directions for generalization

Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz +1

Despite their ability to memorize large datasets, deep neural networks often achieve good generalization performance. However, the differences between the learned solutions of netw…