Tom Dean

Artificial Intelligence · 2016

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 — 26 citations into it
• Natural Language Processing — 23 citations into it
• Model Architectures — 10 citations into it

Whom Tom Dean trusts overall

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

1. Alex Graves
2. Tomas Mikolov
3. Yann LeCun
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Paul J. Werbos
7. Sepp Hochreiter
8. J. Urgen Schmidhuber
9. Ilya Sutskever
10. Alex Krizhevsky

Papers from Tom Dean's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Contextual LSTM (CLSTM) models for Large scale NLP tasks (2016) — 229 citations