Arnaud Bergeron
Artificial Intelligence · 2011–2016
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Optimization & Training — 10 citations into it; #889 of 2,601 by trust here, #248 by citations
Whom Arnaud Bergeron trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Pascal Vincent
- Ruslan Salakhutdinov
- Aapo Hyvärinen
- Yann LeCun
- Alex Krizhevsky
- Marc'Aurelio Ranzato
- Hugo Larochelle
- Ilya Sutskever
Who trusts Arnaud Bergeron overall
- Yoshua Bengio
- Zhe Gan
- Razvan Pascanu
- Colin Raffel
- Ian J. Goodfellow
- Kyunghyun Cho
- Matthieu Courbariaux
- Sergey Levine
- Aaron C. Courville
- Ruslan Salakhutdinov
Papers from Arnaud Bergeron's perspective
Ordered by how strongly the researchers Arnaud Bergeron 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)
- Going deeper with convolutions
- 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
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Theano: new features and speed improvements (2012) — 1,415 citations
- Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations
- Theano: Deep Learning on GPUs with Python (2012) — 280 citations
- Deep Learners Benefit More from Out-of-Distribution Examples (2011) — 169 citations