Benoit Crabb'e

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Natural Language Processing — 56 citations into it
• Evaluation & Benchmarks — 12 citations into it

Whom Benoit Crabb'e trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Chin-Yew Lin
6. Alec Radford

Papers from Benoit Crabb'e's perspective

Ordered by how strongly the researchers Benoit Crabb'e trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. GloVe: Global Vectors for Word Representation
9. Language Models are Unsupervised Multitask Learners
10. Gradient-based learning applied to document recognition

Their papers

• FlauBERT: Unsupervised Language Model Pre-training for French (2019) — 441 citations
• 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)