Alain Droniou

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Cognitive Neuroscience — 14 citations into it
• Reinforcement Learning — 12 citations into it
• Control and Systems Engineering — 11 citations into it
• Model Architectures — 11 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Alain Droniou trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Yann LeCun
5. James Martens
6. J. Urgen Schmidhuber
7. Alex Krizhevsky
8. Teuvo Kohonen
9. Ruslan Salakhutdinov
10. Alex Graves

Papers from Alain Droniou's perspective

Ordered by how strongly the researchers Alain Droniou 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Towards Deep Developmental Learning (2016) — 47 citations