Kwan Ho Ryan Chan
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #20,268 of 21,575 by trust here, #20,756 by citations
- Artificial Intelligence — 44 citations into it; #32,357 of 35,345 by trust here, #29,412 by citations
- Model Architectures — 23 citations into it
- Optimization & Training — 10 citations into it
Whom Kwan Ho Ryan Chan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Alex Krizhevsky
- Yurii E. Nesterov
- Kaiming He
- Yoshua Bengio
- Ross B. Girshick
- Karen Simonyan
- Ilya Sutskever
- Diederik P. Kingma
Who trusts Kwan Ho Ryan Chan overall
Papers from Kwan Ho Ryan Chan's perspective
Ordered by how strongly the researchers Kwan Ho Ryan Chan 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep Networks from the Principle of Rate Reduction (2020) — 22 citations
- Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020) — 251 citations