Thomas A. Geddes

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Molecular Biology — 20 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Thomas A. Geddes trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Leo Breiman
4. Alex Krizhevsky
5. Pascal Vincent
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. Diederik P. Kingma
10. J. Urgen Schmidhuber

Who trusts Thomas A. Geddes overall

1. Chien-Yao Wang

Papers from Thomas A. Geddes's perspective

Ordered by how strongly the researchers Thomas A. Geddes 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Ensemble deep learning in bioinformatics (2020) — 303 citations