Heng Tao Shen

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Representation & Self-Supervised Learning — 18 citations into it

Whom Heng Tao Shen trusts

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

1. Kate Saenko (in Artificial Intelligence)
2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
3. Trevor Darrell (in Computer Vision and Pattern Recognition)
4. L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)
5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
6. Kaiming He (in Computer Vision and Pattern Recognition)
7. Michael I. Jordan (in Computer Vision and Pattern Recognition)
8. Jianmin Wang (in Computer Vision and Pattern Recognition)
9. Mingsheng Long (in Computer Vision and Pattern Recognition)
10. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Heng Tao Shen's perspective

Ordered by how strongly the researchers Heng Tao Shen 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 Large Scale Visual Recognition Challenge
3. GENERATIVE ADVERSARIAL NETS
4. ImageNet classification with deep convolutional neural networks
5. Reading Digits in Natural Images with Unsupervised Feature Learning
6. Visualizing Data using t-SNE
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Maximum Density Divergence for Domain Adaptation (2020) — 340 citations