Jonathan Dodge

Artificial Intelligence · with Anderson · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #24,993 of 35,345 by trust here, #16,771 by citations
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Jonathan Dodge trusts overall

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

1. Brian Y. Lim
2. Wai-Tat Fu
3. Todd Kulesza
4. Peter Pirolli
5. Anind K. Dey
6. Diederik P. Kingma
7. Ed H. Chi
8. Santiago Ontañón
9. Karen Simonyan
10. Geoffrey E. Hinton

Who trusts Jonathan Dodge overall

1. Ramitha Sundar
2. Raghuram Mandyam Annasamy

Papers from Jonathan Dodge's perspective

Ordered by how strongly the researchers Jonathan Dodge 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. ImageNet classification with deep convolutional neural networks
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. Going deeper with convolutions

Their papers

• Visualizing and Understanding Atari Agents (2017) — 406 citations
• How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games (2017) — 34 citations
• Explaining how to play real-time strategy games (2010) — 9 citations