William Buchwalter

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 315 researchers and is trusted by 1,248 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #1,201 of 21,575 by trust here, #3,489 by citations
• Artificial Intelligence — 27 citations into it; #2,414 of 35,345 by trust here, #4,602 by citations
• Representation & Self-Supervised Learning — 24 citations into it; #514 of 3,145 by trust here, #633 by citations
• Model Architectures — 7 citations into it

Whom William Buchwalter trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Andrew Zisserman
5. Alex Krizhevsky
6. Shaoqing Ren
7. Diederik P. Kingma
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts William Buchwalter overall

1. Xinlei Chen
2. Geoffrey E. Hinton
3. Kaiming He
4. Alexei Baevski
5. Ishan Misra
6. Chengxu Zhuang
7. Yoshua Bengio
8. Yonglong Tian
9. Ting-Li Chen
10. Michael Tschannen

Papers from William Buchwalter's perspective

Ordered by how strongly the researchers William Buchwalter trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Learning Representations by Maximizing Mutual Information Across Views (2019) — 1,654 citations