Hao Chen

Artificial Intelligence · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Hao Chen trusts overall

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

1. R. Dennis Cook
2. Huaiyu Zhu
3. Nicholas Carlini
4. Ian J. Goodfellow
5. Pang Wei Koh
6. Christian Szegedy
7. Alex Krizhevsky

Papers from Hao Chen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Intriguing properties of neural networks
5. Explaining and Harnessing Adversarial Examples
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks (2018) — 14 citations