Wei Chai
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #8,280 of 21,575 by trust here, #13,542 by citations
- Artificial Intelligence — 19 citations into it; #12,040 of 35,345 by trust here, #5,028 by citations
- Optimization & Training — 8 citations into it
- Model Architectures — 7 citations into it
- Representation & Self-Supervised Learning — 6 citations into it; #3,120 of 3,145 by trust here, #774 by citations
- Efficiency & Compression — 5 citations into it
Whom Wei Chai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- R. Caruana
- Jonathan Baxter
- X. Zhang
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
Who trusts Wei Chai overall
- Lin Wang
- Anbang Yao
- Guile Wu
- Jangho Kim
- Mang Ye
- Defang Chen
- Qiushan Guo
- Linh Hoang Tran
- Kuk-Jin Yoon
- Shaogang Gong
Papers from Wei Chai's perspective
Ordered by how strongly the researchers Wei Chai 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
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Collaborative Learning for Deep Neural Networks (2018) — 232 citations
- Wide & Deep Learning for Recommender Systems (2016) — 4,198 citations