Zishan Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Zishan Li trusts overall

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

1. Andrew L. Maas
2. Robert J. Vanderbei
3. Luca Pulina
4. Geoffrey E. Hinton
5. Xiaowei Huang
6. Vinod Nair
7. Leonardo de Moura
8. David E. Rumelhart
9. Guy Katz
10. Armando Tacchella

Papers from Zishan Li's perspective

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

1. Rectified Linear Units Improve Restricted Boltzmann Machines
2. Intriguing properties of neural networks
3. ImageNet classification with deep convolutional neural networks
4. Deep Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning internal representations by error propagation

Their papers

• Reluplex made more practical: Leaky ReLU (2020) — 421 citations