François Gardères
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #30,496 of 35,345 by trust here, #25,809 by citations
- Computer Vision and Pattern Recognition — 15 citations into it; #18,720 of 21,575 by trust here, #16,787 by citations
- Multimodal Learning — 10 citations into it; #1,006 of 1,211 by trust here, #1,076 by citations
- Natural Language Processing — 6 citations into it
Whom François Gardères trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jiasen Lu
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Jeffrey Pennington
- Jacob Devlin
- Diederik P. Kingma
- Richard Socher
- Ilya Sutskever
Who trusts François Gardères overall
- Weizhe Lin
- Man Luo
- Kenneth Marino
- Zhengyuan Yang
- Feng Gao
- Liangke Gui
- Bill Byrne
- Yankai Zeng
- Xinlei Chen
Papers from François Gardères's perspective
Ordered by how strongly the researchers François Gardères trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- ConceptBert: Concept-Aware Representation for Visual Question Answering (2020) — 203 citations