Ellis Ratner

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Reinforcement Learning — 24 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Ellis Ratner trusts overall

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

1. Sergey Levine
2. J. Urgen Schmidhuber
3. Geoffrey E. Hinton
4. Pieter Abbeel
5. Chelsea Finn
6. Diederik P. Kingma
7. Yoshua Bengio
8. Andrew Y. Ng
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Ellis Ratner overall

1. Lin Lan

Papers from Ellis Ratner's perspective

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

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

Their papers

• Learning a Prior over Intent via Meta-Inverse Reinforcement Learning (2018) — 69 citations