Pengcheng Li

Safety, Robustness & Interpretability · with Yi · 2019

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

Subfields

• Safety, Robustness & Interpretability — 19 citations into it

Whom Pengcheng Li trusts overall

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

1. Ian J. Goodfellow
2. Cihang Xie
3. Jacob Buckman
4. Alex Krizhevsky
5. Florian Tramèr
6. Alexey Kurakin
7. Geoffrey E. Hinton
8. Nicolas Papernot
9. Christian Szegedy
10. Nicholas Carlini

Papers from Pengcheng Li's perspective

Ordered by how strongly the researchers Pengcheng Li 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss (2019) — 39 citations