Chris Zhang
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 132 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #11,732 of 35,345 by trust here, #15,236 by citations
- Computer Vision and Pattern Recognition — 18 citations into it; #7,848 of 21,575 by trust here, #10,334 by citations
- Model Architectures — 14 citations into it
- Neural Architecture Search & AutoML — 11 citations into it; #102 of 283 by trust here, #134 by citations
- Optimization & Training — 8 citations into it
Whom Chris Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Barret Zoph
- Diederik P. Kingma
- Geoffrey E. Hinton
- Quoc V. Le
- J. Urgen Schmidhuber
- Kaiming He
- Yoshua Bengio
- Sepp Hochreiter
- Karen Simonyan
Who trusts Chris Zhang overall
- Xuanyi Dong
- Jiahui Yu
- Mary Phuong
- Colin White
- Martin Wistuba
- Oscar Chang
- Boris Knyazev
- Tan M. Dinh
- Hongpeng Zhou
- Yong Guo
Papers from Chris Zhang's perspective
Ordered by how strongly the researchers Chris Zhang 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Graph HyperNetworks for Neural Architecture Search (2018) — 304 citations