Di Tang
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #30,401 of 35,345 by trust here, #30,347 by citations
- Safety, Robustness & Interpretability — 18 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it; #18,668 of 21,575 by trust here, #19,310 by citations
- Signal Processing — 13 citations into it
Whom Di Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- L. V. D. van der Maaten
- Christian Szegedy
- X. Zhang
- Pang Wei Koh
- Ilya Sutskever
Who trusts Di Tang overall
Papers from Di Tang's perspective
Ordered by how strongly the researchers Di 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)