Anthony Bau

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #10,117 of 35,345 by trust here, #9,641 by citations
• Natural Language Processing — 40 citations into it; #2,218 of 5,688 by trust here, #2,307 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #10,794 of 21,575 by trust here, #10,010 by citations
• Model Architectures — 9 citations into it

Whom Anthony Bau trusts overall

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

1. Yoshua Bengio
2. Dzmitry Bahdanau
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Diederik P. Kingma
6. Kyunghyun Cho
7. Alex Krizhevsky
8. Alex Graves
9. Yonatan Belinkov
10. Yann LeCun

Who trusts Anthony Bau overall

1. Yonatan Belinkov
2. Jesse Vig
3. Elena Voita
4. Fahim Dalvi
5. Jesse Mu
6. Nadir Durrani
7. Hassan Sajjad
8. Toms Bergmanis
9. Sneha Kudugunta
10. Jacob Andreas

Papers from Anthony Bau's perspective

Ordered by how strongly the researchers Anthony Bau 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Identifying and Controlling Important Neurons in Neural Machine Translation (2018) — 198 citations
• What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models (2018) — 224 citations
• NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks (2018) — 54 citations