François Charton
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #6,743 of 35,345 by trust here, #11,921 by citations
- Natural Language Processing — 36 citations into it
- Information Systems — 24 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Model Architectures — 11 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom François Charton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Oriol Vinyals
- Sepp Hochreiter
- Philipp Koehn
- J. Urgen Schmidhuber
- Lukasz Kaiser
- Jimmy Ba
Who trusts François Charton overall
- Markus Norman Rabe
- Gary F. Marcus
- Gabriel Recchia
- Ankit Gupta
- Rodrigo Nogueira
- Stanislas Polu
- Jonathan Berant
- Dennis Lee
- Bernd Finkbeiner
- Guillaume Lample
Papers from François Charton's perspective
Ordered by how strongly the researchers François Charton trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Deep Learning for Symbolic Mathematics (2019) — 500 citations
- Leveraging Automated Unit Tests for Unsupervised Code Translation (2021) — 168 citations