Xin Li
Artificial Intelligence · with Li · 2016
A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #8,519 of 35,345 by trust here, #19,018 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #6,494 of 21,575 by trust here, #12,689 by citations
- Safety, Robustness & Interpretability — 11 citations into it; #593 of 2,251 by trust here, #1,616 by citations
Whom Xin Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Christian Szegedy
- Karen Simonyan
- Geoffrey E. Hinton
- Sergey Ioffe
- Ian J. Goodfellow
- Yann LeCun
- Ilya Sutskever
- Paul A. Viola
- Kaiming He
Who trusts Xin Li overall
- Nicholas Carlini
- A. Serban
- Ke He
- Tianyu Pang
- Kathrin Grosse
- Chaowei Xiao
- Marco Melis
- Xiaoyu Cao
- Battista Biggio
- David A. Wagner
Papers from Xin Li's perspective
Ordered by how strongly the researchers Xin Li 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics (2016) — 393 citations