Guy Tennenholtz

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #26,933 of 35,345 by trust here, #25,040 by citations
• Reinforcement Learning — 21 citations into it
• Natural Language Processing — 15 citations into it
• Representation & Self-Supervised Learning — 14 citations into it

Whom Guy Tennenholtz trusts overall

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

1. Tomas Mikolov
2. Sebastian Ruder
3. Richard S. Sutton
4. Geoffrey E. Hinton
5. John Schulman
6. Ilya Sutskever
7. Yoshua Bengio
8. Michael L. Littman
9. Omer Levy
10. Matthew E. Taylor

Who trusts Guy Tennenholtz overall

1. Erez Schwartz
2. Ayush Jain
3. Chen Tessler

Papers from Guy Tennenholtz's perspective

Ordered by how strongly the researchers Guy Tennenholtz 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Language is Power: Representing States Using Natural Language in Reinforcement Learning. (2019) — 13 citations
• The Natural Language of Actions (2019) — 63 citations