L. Magne
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it; #24,983 of 35,345 by trust here, #8,706 by citations
- Natural Language Processing — 33 citations into it
- Evaluation & Benchmarks — 18 citations into it; #2,234 of 3,147 by trust here, #1,253 by citations
- Representation & Self-Supervised Learning — 11 citations into it; #2,397 of 3,145 by trust here, #1,155 by citations
- Large Language Models — 10 citations into it
Whom L. Magne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eneko Agirre
- Alexis Conneau
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Daniel Matthew Cer
- Ilya Sutskever
- Niklas Muennighoff
- Jacob Devlin
- Nils Reimers
Who trusts L. Magne overall
Papers from L. Magne's perspective
Ordered by how strongly the researchers L. Magne trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- GloVe: Global Vectors for Word Representation
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- MTEB: Massive Text Embedding Benchmark (2022) — 963 citations