Xin Dong

Computer Vision and Pattern Recognition · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #6,427 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 10 citations into it
• Efficiency & Compression — 10 citations into it; #344 of 1,264 by trust here, #697 by citations
• Model Architectures — 5 citations into it

Whom Xin Dong trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Russell Reed
6. Yoshua Bengio
7. Ilya Sutskever
8. Andrew Zisserman
9. L. Eon Bottou
10. Kaiming He

Who trusts Xin Dong overall

1. Tri Dao
2. Jonathan Frankle
3. Sidak Pal Singh
4. Elias Frantar
5. Chaoqi Wang
6. Yang He
7. Dan Alistarh
8. Beidi Chen
9. Xiaoliang Dai
10. Namhoon Lee

Papers from Xin Dong's perspective

Ordered by how strongly the researchers Xin Dong 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon (2017) — 573 citations