Xuezhou Zhang
Artificial Intelligence · with Zhu · 2018–2020
A researcher in the Science corpus: 5 papers; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it; #32,577 of 35,345 by trust here, #19,873 by citations
- Safety, Robustness & Interpretability — 35 citations into it
- Computational Theory and Mathematics — 14 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Optimization & Training — 11 citations into it
- Computer Networks and Communications — 8 citations into it; #9,042 of 9,886 by trust here, #8,844 by citations
- Numerical Analysis — 8 citations into it
- Management Science and Operations Research — 7 citations into it
Whom Xuezhou Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Xiaojin Zhu
- Andreas Wächter
- Peter Buhlmann
- Richard S. Sutton
- R. Caruana
- Shike Mei
- Iain Dunning
- Alex Krizhevsky
- Geoffrey E. Hinton
Who trusts Xuezhou Zhang overall
Papers from Xuezhou Zhang's perspective
Ordered by how strongly the researchers Xuezhou Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Neural Additive Models: Interpretable Machine Learning with Neural Nets (2020) — 612 citations
- Online Data Poisoning Attack (2019) — 28 citations
- Teacher Improves Learning by Selecting a Training Subset (2018) — 16 citations
- Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models (2018) — 3 citations
- An Optimal Control Approach to Sequential Machine Teaching (2018) — 37 citations