Maximin Coavoux

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 182 citations into it; #19,224 of 35,345 by trust here, #13,760 by citations
• Natural Language Processing — 129 citations into it
• Model Architectures — 23 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Information Systems — 13 citations into it
• Optimization & Training — 9 citations into it
• AI Ethics, Fairness & Society — 6 citations into it
• Social Sciences & Humanities — 5 citations into it

Whom Maximin Coavoux trusts overall

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

1. Dirk Hovy
2. Diederik P. Kingma
3. Sepp Hochreiter
4. Yann LeCun
5. Geoffrey E. Hinton
6. Nicolas Papernot
7. Individualized Treat
8. Yoshua Bengio
9. Jimmy Ba
10. J. Urgen Schmidhuber

Who trusts Maximin Coavoux overall

1. Congzheng Song
2. Vitaly Shmatikov
3. Ananth Raghunathan
4. Eduard H. Hovy
5. Haoran Li
6. Deven Santosh Shah

Papers from Maximin Coavoux's perspective

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

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

Their papers

• Privacy-preserving Neural Representations of Text (2018) — 129 citations
• FlauBERT: Unsupervised Language Model Pre-training for French (2019) — 441 citations
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations