Roland Thiollière

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #9,052 of 35,345 by trust here, #7,728 by citations
• Speech & Audio — 28 citations into it; #362 of 1,076 by trust here, #324 by citations
• Signal Processing — 25 citations into it; #3,535 of 7,572 by trust here, #3,309 by citations
• Representation & Self-Supervised Learning — 9 citations into it

Whom Roland Thiollière trusts overall

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

1. Aren Jansen
2. Matthew D. Zeiler
3. Alex Seungryong Park
4. Herman Kamper
5. Andrew W. Senior
6. Maarten Versteegh
7. Carla Lopes
8. Thomas Schatz
9. Yann LeCun
10. Raia Hadsell

Who trusts Roland Thiollière overall

1. Thomas Schatz
2. David F. Harwath
3. Emmanuel Dupoux
4. Herman Kamper
5. Maarten Versteegh
6. Ewan Dunbar
7. Neil Zeghidour
8. James R. Glass
9. Morgane Rivière
10. Rahma Chaabouni

Papers from Roland Thiollière's perspective

Ordered by how strongly the researchers Roland Thiollière 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The zero resource speech challenge 2017 (2017) — 210 citations
• The zero resource speech challenge 2015 (2015) — 107 citations
• A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling (2015) — 75 citations