Mathias Sablé-Meyer
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it; #34,131 of 35,345 by trust here, #19,018 by citations
- Natural Language Processing — 22 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Mathias Sablé-Meyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mathias Sablé-Meyer overall
Papers from Mathias Sablé-Meyer's perspective
Ordered by how strongly the researchers Mathias Sablé-Meyer 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Curriculum learning
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning (2020) — 266 citations
- DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning (2021) — 278 citations
- Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction (2018) — 81 citations