Rémi Le Priol
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 98 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 136 citations into it; #20,457 of 35,345 by trust here, #10,566 by citations
- Computer Vision and Pattern Recognition — 65 citations into it; #13,738 of 21,575 by trust here, #11,286 by citations
- Optimization & Training — 45 citations into it; #1,853 of 2,601 by trust here, #1,509 by citations
- Representation & Self-Supervised Learning — 44 citations into it
- Probabilistic & Bayesian Methods — 30 citations into it
- Generative Models — 27 citations into it
- Causal Inference & Discovery — 24 citations into it
- Statistics and Probability — 20 citations into it
Whom Rémi Le Priol trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shai Shalev-Shwartz
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Tong Zhang
- Bernhard Schölkopf
- John C. Duchi
- John D. Lafferty
- Tom L. Burr
Who trusts Rémi Le Priol overall
Papers from Rémi Le Priol's perspective
Ordered by how strongly the researchers Rémi Le Priol trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Out-of-Distribution Generalization via Risk Extrapolation (REx) (2020) — 1,228 citations
- Negative Momentum for Improved Game Dynamics (2018) — 192 citations
- An Analysis of the Adaptation Speed of Causal Models (2020) — 15 citations
- Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA (2021) — 190 citations
- Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields (2017) — 7 citations