James Atwood

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 78 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #3,254 of 35,345 by trust here, #4,772 by citations
• Computer Vision and Pattern Recognition — 40 citations into it
• Graph Learning — 12 citations into it; #87 of 693 by trust here, #179 by citations
• Reinforcement Learning — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom James Atwood trusts overall

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

1. Jakob Verbeek
2. Qing Lu
3. John C. Duchi
4. Yann LeCun
5. Dengyong Zhou
6. François Fouss
7. Geoffrey E. Hinton
8. Bill Triggs
9. Lise Getoor
10. Alex Krizhevsky

Who trusts James Atwood overall

1. Saurabh Verma
2. Federico Monti
3. Haggai Maron
4. Yifan Feng
5. Zhang Xinyi
6. Weiwei Jiang
7. Zhi-Li Zhang
8. Sami Abu-El-Haija
9. Ryan L. Murphy
10. Yifan Zhang

Papers from James Atwood's perspective

Ordered by how strongly the researchers James Atwood 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World (2017) — 343 citations
• Diffusion-Convolutional Neural Networks (2015) — 1,376 citations
• The Inclusive Images Competition (2019) — 19 citations
• Fairness is not static: deeper understanding of long term fairness via simulation studies (2020) — 264 citations