Xin Wang
Artificial Intelligence · with Mostafa · 2019
A researcher in the Science corpus: 1 paper; trusts 222 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #9,823 of 35,345 by trust here, #18,186 by citations
- Computer Vision and Pattern Recognition — 29 citations into it; #7,140 of 21,575 by trust here, #12,172 by citations
- Efficiency & Compression — 25 citations into it; #382 of 1,264 by trust here, #913 by citations
- Optimization & Training — 11 citations into it
- Model Architectures — 10 citations into it
- Scaling & Learning Theory — 9 citations into it
- Computational Mechanics — 5 citations into it
Whom Xin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Diederik P. Kingma
- Song Han
- Oriol Vinyals
- Karen Simonyan
Who trusts Xin Wang overall
- Sidak Pal Singh
- Tim Dettmers
- Nimit Sharad Sohoni
- Shiwei Liu
- Chaoqi Wang
- Tao Lin
- Junjie Liu
- Dan Alistarh
- Aditya Kusupati
- Tri Dao
Papers from Xin Wang's perspective
Ordered by how strongly the researchers Xin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions