Liyiming Ke

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #33,847 of 35,345 by trust here, #14,438 by citations
• Reinforcement Learning — 35 citations into it; #2,157 of 2,242 by trust here, #1,895 by citations
• Computer Vision and Pattern Recognition — 32 citations into it; #20,686 of 21,575 by trust here, #10,010 by citations
• Computer Networks and Communications — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Liyiming Ke trusts overall

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

1. Radford M. Neal
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Diederik P. Kingma
5. Yoshua Bengio
6. Alex Krizhevsky
7. Kaiming He
8. Yann LeCun
9. Sergey Levine
10. Stéphane Ross

Who trusts Liyiming Ke overall

1. Ofir Nachum
2. Yicong Hong
3. Yichi Zhang
4. Ilya Kostrikov
5. Robert Dadashi
6. So Yeon Min
7. Xiujun Li
8. Arjun Majumdar
9. Qi Wu
10. Bo Dai

Papers from Liyiming Ke's perspective

Ordered by how strongly the researchers Liyiming Ke 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation (2019) — 185 citations
• Imitation Learning as f-Divergence Minimization (2019) — 193 citations
• Behavioral Experiments in Email Filter Evasion (2016) — 10 citations