Charlotte Caucheteux

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Cognitive Neuroscience — 48 citations into it; #4,510 of 10,852 by trust here, #9,185 by citations
• Natural Language Processing — 29 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Large Language Models — 15 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Model Architectures — 10 citations into it

Whom Charlotte Caucheteux trusts overall

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

1. Nikolaus Kriegeskorte
2. Alec Radford
3. Ilya Sutskever
4. Tomas Mikolov
5. Geoffrey E. Hinton
6. Ashish Vaswani
7. Yoshua Bengio
8. Daniel L. K. Yamins
9. Jacob Devlin
10. Alex Krizhevsky

Who trusts Charlotte Caucheteux overall

1. Yu Takagi
2. Jerry Tang
3. Shinji Nishimoto
4. Amanda LeBel
5. Shailee Jain

Papers from Charlotte Caucheteux's perspective

Ordered by how strongly the researchers Charlotte Caucheteux 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Brains and algorithms partially converge in natural language processing (2022) — 353 citations
• Evidence of a predictive coding hierarchy in the human brain listening to speech (2023) — 302 citations