Alexandre Ram'e
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it; #19,860 of 35,345 by trust here, #16,471 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #12,405 of 21,575 by trust here, #11,083 by citations
- Meta & Continual Learning — 28 citations into it; #624 of 1,041 by trust here, #606 by citations
- Optimization & Training — 13 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Model Architectures — 10 citations into it; #1,399 of 2,278 by trust here, #1,490 by citations
- Efficiency & Compression — 8 citations into it
Whom Alexandre Ram'e trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Jimmy Ba
- Sergey Ioffe
- Ilya Sutskever
- Christian Szegedy
Who trusts Alexandre Ram'e overall
- Da-Wei Zhou
- Yabin Wang
- B. Ermiş
- Fabio Cermelli
- Liangzu Peng
- Fu-Yun Wang
- Zhiwu Huang
- Liu Yu-yang
- Anurag Roy
Papers from Alexandre Ram'e's perspective
Ordered by how strongly the researchers Alexandre Ram'e 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
- ImageNet: A large-scale hierarchical image database
- 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
- 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
- DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion (2021) — 468 citations