Matthew F. Peterson

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 20 citations into it
• Reinforcement Learning — 9 citations into it

Whom Matthew F. Peterson trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Sepp Hochreiter
6. Yoshua Bengio
7. Richard S. Sutton
8. Alex Krizhevsky
9. J. Urgen Schmidhuber
10. Jimmy Ba

Papers from Matthew F. Peterson's perspective

Ordered by how strongly the researchers Matthew F. Peterson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling (2019) — 47 citations