Yanis Labrak

Computer Vision and Pattern Recognition · 2022–2024

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

• Computer Vision and Pattern Recognition — 33 citations into it
• Model Architectures — 16 citations into it
• Hardware and Architecture — 7 citations into it

Whom Yanis Labrak trusts overall

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

1. J. Platt
2. Tri Dao
3. Ilya Loshchilov
4. Jacob Devlin
5. Taku Kudo
6. Geoffrey E. Hinton
7. Alec Radford
8. Sidak Pal Singh
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Yanis Labrak's perspective

Ordered by how strongly the researchers Yanis Labrak 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. ImageNet classification with deep convolutional neural networks
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains (2024) — 514 citations
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations