Kevin Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Reinforcement Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Kevin Zhang trusts overall

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

1. Diederik P. Kingma
2. Chelsea Finn
3. Kaiming He
4. Stefan Schaal
5. Carl E. Rasmussen
6. Marc Peter Deisenroth
7. Auke Jan Ijspeert
8. Geoffrey E. Hinton
9. Jimmy Ba
10. Rowan Thomas McAllister

Papers from Kevin Zhang's perspective

Ordered by how strongly the researchers Kevin 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning Semantic Embedding Spaces for Slicing Vegetables (2019) — 15 citations