Aurelien Waite

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #16,463 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 17 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it; #10,488 of 21,575 by trust here, #15,162 by citations
• Model Architectures — 5 citations into it

Whom Aurelien Waite trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Kyunghyun Cho
4. David Chiang
5. Dzmitry Bahdanau
6. Geoffrey E. Hinton
7. Sébastien Jean
8. Oriol Vinyals
9. Ian J. Goodfellow
10. Diederik P. Kingma

Who trusts Aurelien Waite overall

1. Danielle Saunders
2. Jiameng Gao
3. Roee Aharoni
4. Bill Byrne

Papers from Aurelien Waite's perspective

Ordered by how strongly the researchers Aurelien Waite 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. ImageNet: A large-scale hierarchical image database

Their papers

• Syntactically Guided Neural Machine Translation (2016) — 66 citations