Kai Zhang
Computer Vision and Pattern Recognition · with Kwok · 2006–2008
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #15,114 of 21,575 by trust here, #20,756 by citations
- Artificial Intelligence — 11 citations into it; #24,487 of 35,345 by trust here, #33,294 by citations
- Optimization & Training — 6 citations into it
Whom Kai Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emanuel Parzen
- Dorin Comaniciu
- Charles Peter Elkan
- Bernhard Schölkopf
- Jacob Goldberger
- Sunil Arya
- David M. Mount
- Shai Fine
- Petros Drineas
- Simon Justin Julier
Who trusts Kai Zhang overall
- Ameet Talwalkar
- Julien Mairal
- Deng Cai
- Tianbao Yang
- Sanjiv Kumar
- Shao-Wei Liu
- Rong Jin
- Si Si
- Yunyang Xiong
- Xinlei Chen
Papers from Kai Zhang's perspective
Ordered by how strongly the researchers Kai 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Simplifying Mixture Models Through Function Approximation (2006) — 95 citations
- Improved Nyström low-rank approximation and error analysis (2008) — 349 citations