Shani Gamrian

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 126 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #24,295 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #15,026 of 21,575 by trust here, #18,266 by citations
• Reinforcement Learning — 13 citations into it
• Generative Models — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Shani Gamrian trusts overall

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

1. Yoshua Bengio
2. Ming-Yu Liu
3. Geoffrey E. Hinton
4. Volodymyr Mnih
5. Xavier Glorot
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Yann LeCun
9. Alec Radford
10. Alex Graves

Who trusts Shani Gamrian overall

1. Yingxue Pang
2. Biwei Huang
3. Jianxin Lin
4. Fan Feng
5. Roberta Raileanu
6. Klaus Greff
7. Tao Qin

Papers from Shani Gamrian's perspective

Ordered by how strongly the researchers Shani Gamrian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation (2018) — 127 citations