Tao Tang
Computer Vision and Pattern Recognition · with Wang · 2021
A researcher in the Science corpus: 1 paper; trusts 187 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 65 citations into it
- Artificial Intelligence — 55 citations into it
- Model Architectures — 22 citations into it
- Neural Architecture Search & AutoML — 15 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Optimization & Training — 7 citations into it
Whom Tao Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Karen Simonyan
- Barret Zoph
- Yann LeCun
- Quoc V. Le
Papers from Tao Tang's perspective
Ordered by how strongly the researchers Tao Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge