Steven Chen

Artificial Intelligence · with Carlini · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Safety, Robustness & Interpretability — 24 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Steven Chen trusts overall

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

1. Ian J. Goodfellow
2. Nicholas Carlini
3. Kaiming He
4. David Chaum
5. Christian Szegedy
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Nicolas Papernot
9. Yoshua Bengio
10. David A. Wagner

Papers from Steven Chen's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Stateful Detection of Black-Box Adversarial Attacks (2019) — 148 citations