Pan Bian

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #29,524 of 35,345 by trust here, #14,438 by citations
• Safety, Robustness & Interpretability — 16 citations into it; #1,865 of 2,251 by trust here, #1,265 by citations

Whom Pan Bian trusts overall

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

1. Nicolas Papernot
2. Alex Krizhevsky
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Ilya Sutskever

Who trusts Pan Bian overall

1. M. V. Koroteev
2. Yonatan Belinkov

Papers from Pan Bian's perspective

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

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

Their papers

• Deep Text Classification Can be Fooled (2017) — 452 citations