James J. Thomas

Artificial Intelligence · with Aiken · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 7 citations into it

Whom James J. Thomas trusts overall

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

1. Barret Zoph
2. Kaiming He
3. Geoffrey E. Hinton
4. Quoc V. Le
5. Vinod Nair
6. Alex Krizhevsky
7. Ross B. Girshick
8. Yoshua Bengio
9. Jacob Devlin
10. X. Zhang

Papers from James J. Thomas's perspective

Ordered by how strongly the researchers James J. Thomas 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• TASO: optimizing deep learning computation with automatic generation of graph substitutions (2019) — 371 citations