Kai Zhang

Artificial Intelligence · with Kwok · 2013

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Kai Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sinno Jialin Pan
2. Thorsten Joachims
3. Christopher K. I. Williams
4. Lotfi A. Zadeh
5. Bianca Zadrozny
6. Yaoliang Yu
7. Mikhail Belkin
8. Alex Smola
9. Bernhard Schölkopf
10. Qiang Yang

Who trusts Kai Zhang overall

1. Nicolas Courty
2. Rémi Flamary
3. Ritambhara Singh
4. Xiyu Yu
5. Mingming Gong

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.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels (2013) — 79 citations