Tianren Wang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 19 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Tianren Wang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Xinlei Chen
6. Yann LeCun
7. Ross B. Girshick
8. X. Zhang
9. Diederik P. Kingma
10. Oriol Vinyals

Papers from Tianren Wang's perspective

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

Their papers

• Few-Shot Class-Incremental Learning from an Open-Set Perspective (2022) — 151 citations