Jean Senellart

Natural Language Processing · 2012–2017

A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 104 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 50 citations into it; #700 of 5,688 by trust here, #808 by citations
• Artificial Intelligence — 48 citations into it; #2,618 of 35,345 by trust here, #3,338 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #3,752 of 21,575 by trust here, #2,792 by citations
• Model Architectures — 12 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Machine Translation — 5 citations into it

Whom Jean Senellart trusts overall

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

1. Franz Joseph Och
2. Philipp Koehn
3. Rico Sennrich
4. Dzmitry Bahdanau
5. Ilya Sutskever
6. Yoshua Bengio
7. Oriol Vinyals
8. Kyunghyun Cho
9. Jörg Tiedemann
10. Geoffrey E. Hinton

Who trusts Jean Senellart overall

1. Chenhui Chu
2. Yang Liu
3. Ratish Puduppully
4. Zhenhao Li
5. Surafel Melaku Lakew
6. Uri Alon
7. Felix Stahlberg
8. Tao Lei
9. Sebastian Gehrmann
10. Mirella Lapata

Papers from Jean Senellart's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Sequence to Sequence Learning with Neural Networks (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

• OpenNMT: Open-Source Toolkit for Neural Machine Translation (2017) — 1,966 citations
• SYSTRAN's Pure Neural Machine Translation Systems (2016) — 128 citations
• Domain Control for Neural Machine Translation (2016) — 197 citations
• Incremental adaptation using translation information and post-editing analysis (2012) — 18 citations