Benoit Couraud
Electrical and Electronic Engineering · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 33 citations into it
- Artificial Intelligence — 26 citations into it
- Control and Systems Engineering — 15 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Statistical Learning Theory — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Benoit Couraud trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- Renzhi Lu
- Christopher K. I. Williams
- Arpan Kumar Kar
- Zachary Chase Lipton
- Yuxi Li
- A. R. Jordehi
- Geoffrey E. Hinton
Papers from Benoit Couraud's perspective
Ordered by how strongly the researchers Benoit Couraud 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)