Clark Zhang

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Reinforcement Learning — 11 citations into it

Whom Clark Zhang trusts overall

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

1. Richard S. Sutton
2. Alex Graves
3. Diederik P. Kingma
4. Sergey Levine
5. Andrew Barto
6. Geoffrey E. Hinton
7. Volodymyr Mnih
8. Yurii E. Nesterov
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Clark Zhang overall

1. Saurabh Gupta
2. Hoon Lee

Papers from Clark Zhang's perspective

Ordered by how strongly the researchers Clark Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Reinforcement Learning: An Introduction

Their papers

• Memory Augmented Control Networks (2017) — 80 citations
• Learning Optimal Resource Allocations in Wireless Systems (2018) — 237 citations