Tongzhou Wang

Artificial Intelligence · with Cheung · 2024

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Natural Language Processing — 9 citations into it

Whom Tongzhou Wang trusts overall

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

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

Papers from Tongzhou Wang's perspective

Ordered by how strongly the researchers Tongzhou Wang 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• The Platonic Representation Hypothesis (2024) — 392 citations