Tao Bai

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 54 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Safety, Robustness & Interpretability — 51 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it; #16,385 of 21,575 by trust here, #12,172 by citations
• Signal Processing — 18 citations into it; #5,633 of 7,572 by trust here, #3,099 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Tao Bai trusts overall

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

1. Ian J. Goodfellow
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Alexey Kurakin
5. Christian Szegedy
6. Yoshua Bengio
7. Kaiming He
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Tao Bai overall

1. Mei Wang

Papers from Tao Bai's perspective

Ordered by how strongly the researchers Tao Bai 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Targeting Ultimate Accuracy: Face Recognition via Deep Embedding (2015) — 245 citations
• Recent Advances in Adversarial Training for Adversarial Robustness (2021) — 652 citations