Yu-Ting Chen

Computer Vision and Pattern Recognition · with Chang · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 164 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 46 citations into it
• Reinforcement Learning — 20 citations into it; #2,145 of 2,242 by trust here, #1,609 by citations
• Optimization & Training — 6 citations into it

Whom Yu-Ting Chen trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Jimmy Ba
9. Antonio Torralba
10. Ross B. Girshick

Who trusts Yu-Ting Chen overall

1. Yang Zou

Papers from Yu-Ting Chen's perspective

Ordered by how strongly the researchers Yu-Ting Chen 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• No More Discrimination: Cross City Adaptation of Road Scene Segmenters (2017) — 359 citations
• Task Transfer by Preference-Based Cost Learning (2018) — 56 citations
• MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning (2018) — 149 citations