Séverine Dubuisson

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Optimization & Training — 11 citations into it
• Model Architectures — 8 citations into it

Whom Séverine Dubuisson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radford M. Neal
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yann LeCun
6. Yoshua Bengio
7. Kaiming He
8. Sergey Ioffe
9. Christian Szegedy
10. L. Eon Bottou

Papers from Séverine Dubuisson's perspective

Ordered by how strongly the researchers Séverine Dubuisson trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• TRADI: Tracking deep neural network weight distributions (2019) — 66 citations