François Hernandez

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #25,910 of 35,345 by trust here, #19,439 by citations
• Speech & Audio — 10 citations into it; #793 of 1,076 by trust here, #731 by citations
• Signal Processing — 9 citations into it; #5,489 of 7,572 by trust here, #3,428 by citations
• Model Architectures — 5 citations into it

Whom François Hernandez trusts overall

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

1. Daniel Povey
2. Vijayaditya Peddinti
3. Anthony Rousseau
4. Hainan Xu
5. Alex Graves
6. Alex Auvolat
7. Jean-Luc Gauvain
8. Natalia A. Tomashenko
9. Yiming Wang
10. Hasim Sak

Who trusts François Hernandez overall

1. Tatiana Likhomanenko
2. Yu Zhang
3. Qiantong Xu
4. Sameer Khurana
5. Max Bain
6. Ngoc-Quan Pham
7. Alec Radford
8. Felix Wu
9. Wei-Ning Hsu
10. Chengyi Wang

Papers from François Hernandez's perspective

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

1. Long Short-Term Memory
2. The Kaldi Speech Recognition Toolkit
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
8. ImageNet classification with deep convolutional neural networks
9. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
10. Gradient-based learning applied to document recognition

Their papers

• TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation (2018) — 434 citations