Alain Raymond-Sáez
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #28,558 of 35,345 by trust here, #29,412 by citations
- Computer Vision and Pattern Recognition — 29 citations into it; #17,683 of 21,575 by trust here, #18,782 by citations
- Meta & Continual Learning — 24 citations into it; #880 of 1,041 by trust here, #963 by citations
- Representation & Self-Supervised Learning — 15 citations into it
- Efficiency & Compression — 5 citations into it
- Reinforcement Learning — 5 citations into it
Whom Alain Raymond-Sáez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Marc'Aurelio Ranzato
- Yoshua Bengio
- Arslan Chaudhry
- Diederik P. Kingma
- Kaiming He
- Yann LeCun
- Oriol Vinyals
- Marcus Rohrbach
Who trusts Alain Raymond-Sáez overall
Papers from Alain Raymond-Sáez's perspective
Ordered by how strongly the researchers Alain Raymond-Sáez 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Optimizing Reusable Knowledge for Continual Learning via Metalearning (2021) — 46 citations