Pengchuan Zhang
Artificial Intelligence · with Salman · 2019
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #21,530 of 35,345 by trust here, #13,163 by citations
- Safety, Robustness & Interpretability — 56 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Electrical and Electronic Engineering — 15 citations into it
- Program Analysis & Verification — 12 citations into it
- Control and Systems Engineering — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Pengchuan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Rüdiger Ehlers
- Kaiming He
- Nicholas Carlini
- Geoffrey E. Hinton
- Ian J. Goodfellow
- Vincent Tjeng
- Christian Szegedy
- Alessio R. Lomuscio
- Matteo Fischetti
Who trusts Pengchuan Zhang overall
Papers from Pengchuan Zhang's perspective
Ordered by how strongly the researchers Pengchuan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Intriguing properties of neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Explaining and Harnessing Adversarial Examples
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers (2019) — 640 citations
- A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks (2019) — 299 citations