Cédric Gerbelot
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Scaling & Learning Theory — 12 citations into it
- Statistical Learning Theory — 8 citations into it
- Optimization & Training — 5 citations into it
Whom Cédric Gerbelot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher K. I. Williams
- Diederik P. Kingma
- Song Mei
- Kaiming He
- Andrea Montanari
- Joan Bruna
- Alec Radford
- Geoffrey E. Hinton
- E. Gardner
- Olivier Ledoit
Papers from Cédric Gerbelot's perspective
Ordered by how strongly the researchers Cédric Gerbelot trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)