David Thorsley

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Efficiency & Compression — 39 citations into it

Whom David Thorsley trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Sepp Hochreiter
5. Diederik P. Kingma
6. Kaiming He
7. Yann LeCun
8. Ilya Sutskever
9. J. Urgen Schmidhuber
10. Richard Socher

Papers from David Thorsley's perspective

Ordered by how strongly the researchers David Thorsley trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learned Token Pruning for Transformers (2021) — 225 citations