In D S Touretzky

Reinforcement Learning · 1990

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

• Reinforcement Learning — 5 citations into it

Whom In D S Touretzky trusts overall

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

1. J. Urgen Schmidhuber
2. Michael I. Jordan
3. Ronald J. Williams
4. Paul J. Werbos
5. Andrew Barto
6. A. Robinson
7. Richard S. Sutton
8. Tony A. Robinson
9. David E. Rumelhart
10. David Zipser

Who trusts In D S Touretzky overall

1. J. Urgen Schmidhuber
2. Yoshua Bengio
3. Sergey Levine
4. Quoc V. Le
5. Trevor Darrell
6. Mohit Bansal
7. Zhe Gan
8. Kyunghyun Cho
9. Ruslan Salakhutdinov
10. Abhinav Kumar Gupta

Papers from In D S Touretzky's perspective

Ordered by how strongly the researchers In D S Touretzky 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. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Algorithms for Networks with Internal and External Feedback (1990)