Reuben Cohn-Gordon

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #16,207 of 21,575 by trust here, #18,266 by citations
• Natural Language Processing — 9 citations into it; #4,337 of 5,688 by trust here, #4,983 by citations
• Artificial Intelligence — 8 citations into it; #26,413 of 35,345 by trust here, #28,481 by citations

Whom Reuben Cohn-Gordon trusts overall

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

1. Andrej Karpathy
2. Noah D. Goodman
3. Oriol Vinyals
4. Ramakrishna Vedantam
5. Li Fei-Fei
6. Geoffrey E. Hinton
7. Samy Bengio
8. Xinlei Chen
9. Alex Krizhevsky
10. Yoshua Bengio

Who trusts Reuben Cohn-Gordon overall

1. Daniel Fried
2. Sheng Shen
3. Robert D. Hawkins
4. Daniel Klein
5. Minae Kwon
6. Jacob Andreas
7. Kevin Yang
8. Sandro Pezzelle

Papers from Reuben Cohn-Gordon's perspective

Ordered by how strongly the researchers Reuben Cohn-Gordon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Pragmatically Informative Image Captioning with Character-Level Inference (2018) — 112 citations