C. Chiang

Artificial Intelligence · with Chadha · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #21,712 of 35,345 by trust here, #28,481 by citations
• Safety, Robustness & Interpretability — 12 citations into it

Whom C. Chiang trusts overall

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

1. Anish Athalye
2. Nicholas Carlini
3. Aditi Raghunathan
4. Yusuke Tsuzuku
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Ian J. Goodfellow
8. Christian Szegedy

Who trusts C. Chiang overall

1. Klas Leino
2. A. Serban
3. Yao-Yuan Yang

Papers from C. Chiang's perspective

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

Their papers

• Limitations of the Lipschitz constant as a defense against adversarial examples (2018) — 90 citations