Ben Tan

Artificial Intelligence · with Yang · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 227 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 332 citations into it; #13,942 of 35,345 by trust here, #17,412 by citations
• Computer Vision and Pattern Recognition — 182 citations into it; #15,365 of 21,575 by trust here, #15,529 by citations
• Representation & Self-Supervised Learning — 118 citations into it
• Information Systems — 42 citations into it
• Computational Mechanics — 32 citations into it
• Management Science and Operations Research — 25 citations into it
• Signal Processing — 23 citations into it
• Recommender Systems — 12 citations into it

Whom Ben Tan trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. David G. Lowe
5. Ilya Sutskever
6. Diederik P. Kingma
7. Yann LeCun
8. Kaiming He
9. Ruslan Salakhutdinov
10. Andrew Zisserman

Who trusts Ben Tan overall

1. Mei Wang
2. Gabriella Csurka
3. Shuteng Niu
4. Wen Zhang
5. Weihong Deng
6. Yongxin Liu
7. Lingfei Deng
8. Jindong Wang
9. Jian Wang
10. Mingxia Liu

Papers from Ben Tan's perspective

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

Their papers

• Transitive Transfer Learning (2015) — 195 citations
• Distant Domain Transfer Learning (2017) — 202 citations
• Transfer Learning for Behavior Ranking (2017) — 42 citations