Quentin Delfosse

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it; #30,580 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 45 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Natural Language Processing — 22 citations into it
• Meta & Continual Learning — 14 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Large Language Models — 7 citations into it
• Reinforcement Learning — 6 citations into it

Whom Quentin Delfosse trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Diederik P. Kingma
6. Kaiming He
7. Ilya Sutskever
8. L. Eon Bottou
9. Marc'Aurelio Ranzato
10. Alex Graves

Who trusts Quentin Delfosse overall

1. Jorge Armando Mendez Mendez

Papers from Quentin Delfosse's perspective

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

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

Their papers

• Adaptable Adapters (2022) — 21 citations
• CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability (2021) — 42 citations