Etienne Barnard

Artificial Intelligence · 1993–2014

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #34,305 of 35,345 by trust here, #21,878 by citations
• Signal Processing — 9 citations into it
• Speech & Audio — 9 citations into it; #1,020 of 1,076 by trust here, #797 by citations

Whom Etienne Barnard trusts overall

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

1. Tanja Schultz
2. Mathias Creutz
3. Abdel-rahman Mohamed
4. Hynek Hermansky
5. Arthur L. Samuel
6. Tomas Mikolov
7. Richard S. Sutton
8. Geoffrey E. Hinton
9. Ebru Arisoy

Who trusts Etienne Barnard overall

1. Richard S. Sutton
2. Satinder Singh
3. Andrew Barto
4. Michael Fairbank
5. Sergey Levine
6. Harm van Seijen
7. Yoshua Bengio
8. Carles Gelada
9. J. Urgen Schmidhuber
10. Marc G. Bellemare

Papers from Etienne Barnard's perspective

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

1. Recurrent neural network based language model
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Acoustic Modeling Using Deep Belief Networks
7. Gradient-based learning applied to document recognition
8. Tandem connectionist feature extraction for conventional HMM systems
9. Attention is All you Need (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Automatic speech recognition for under-resourced languages: A survey (2014) — 547 citations
• Temporal-difference methods and Markov models (1993)