Zhizhou Yin

Safety, Robustness & Interpretability · 2014

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

• Safety, Robustness & Interpretability — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Zhizhou Yin trusts overall

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

1. Michael Brückner
2. Choon Hui Teo
3. Kevin Leyton-Brown
4. Martin J. Osborne
5. A. Kolcz
6. Tobias Scheffer
7. Yoav Shoham
8. Ariel Rubinstein
9. Yann LeCun
10. Alex Smola

Who trusts Zhizhou Yin overall

1. Battista Biggio
2. Fei Zhang

Papers from Zhizhou Yin's perspective

Ordered by how strongly the researchers Zhizhou Yin 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Sparse Feature Attacks in Adversarial Learning (2014) — 60 citations