Pierre Dersin
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it
- Computer Vision and Pattern Recognition — 48 citations into it
- Representation & Self-Supervised Learning — 27 citations into it
- Model Architectures — 19 citations into it
- Natural Language Processing — 19 citations into it
- Control and Systems Engineering — 18 citations into it
- Signal Processing — 10 citations into it
- Mechanical Engineering — 9 citations into it
Whom Pierre Dersin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Graves
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Radford M. Neal
- Diederik P. Kingma
- Kaiming He
- J. Urgen Schmidhuber
Papers from Pierre Dersin's perspective
Ordered by how strongly the researchers Pierre Dersin 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)