Sam Toyer

Artificial Intelligence · with Thiébaux · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it

Whom Sam Toyer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dimitri P. Bertsekas
2. Eric A. Hansen
3. Blai Bonet
4. Djork-Arné Clevert
5. Hector Geffner
6. Shlomo Zilberstein
7. Ken Kansky
8. Roni Khardon
9. Sepp Hochreiter
10. Thomas Unterthiner

Who trusts Sam Toyer overall

1. Peter W. Battaglia

Papers from Sam Toyer's perspective

Ordered by how strongly the researchers Sam Toyer trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Playing Atari with Deep Reinforcement Learning (arXiv.org)
9. Long Short-Term Memory
10. Et al

Their papers

• Action Schema Networks: Generalised Policies with Deep Learning (2017) — 92 citations