Chih-Hong Cheng

Safety, Robustness & Interpretability · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 12 citations into it
• Artificial Intelligence — 10 citations into it; #8,812 of 35,345 by trust here, #18,186 by citations

Whom Chih-Hong Cheng trusts overall

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

1. Xiaowei Huang
2. Luca Pulina
3. Ian J. Goodfellow
4. Yann LeCun
5. Ignacio E. Grossmann
6. Nicolas Papernot
7. Armando Tacchella
8. Geoffrey E. Hinton
9. Anh Totti Nguyen
10. Volodymyr Mnih

Who trusts Chih-Hong Cheng overall

1. Matt Jordan
2. Huan Zhang
3. Vincent Tjeng
4. Kai Y. Xiao
5. Matteo Fischetti
6. Tsui-Wei Weng
7. Jeremy M. Cohen
8. Claudio Gambella
9. Thiago Serra
10. A. Dimakis

Papers from Chih-Hong Cheng's perspective

Ordered by how strongly the researchers Chih-Hong Cheng 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Maximum Resilience of Artificial Neural Networks (2017) — 304 citations