Antoine Simoulin

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 11 citations into it

Whom Antoine Simoulin trusts overall

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

1. Chin-Yew Lin

Papers from Antoine Simoulin's perspective

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

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

Their papers

• Un modèle Transformer Génératif Pré-entrainé pour le _ _ _ _ _ _ français (Generative Pre-trained Transformer in _ _ _ _ _ _ (French) We introduce a French adaptation from the well-known GPT model) (2021)