Sébastien Montella

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it
• Natural Language Processing — 64 citations into it
• Evaluation & Benchmarks — 37 citations into it

Whom Sébastien Montella trusts overall

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

1. Maja Popovic
2. Satanjeev Banerjee
3. Rico Sennrich
4. Thibault Sellam
5. Alon Lavie
6. Yoshua Bengio
7. Barry Haddow
8. Ilya Sutskever
9. Dipanjan Das
10. Salim Roukos

Who trusts Sébastien Montella overall

1. Bohan Li
2. Steven Y. Feng
3. Yutai Hou

Papers from Sébastien Montella's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Bleu: a Method for Automatic Evaluation of Machine Translation
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
• Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers (2020) — 15 citations