Raphael Lenain

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Natural Language Processing — 43 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Evaluation & Benchmarks — 20 citations into it
• Model Architectures — 13 citations into it

Whom Raphael Lenain trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Jimmy Ba
9. J. Urgen Schmidhuber
10. Yann LeCun

Papers from Raphael Lenain's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Phonological Features for 0-shot Multilingual Speech Synthesis (2020) — 38 citations
• Generative Pretraining for Paraphrase Evaluation (2021) — 12 citations
• Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning (2020) — 11 citations