Rafael Pinot
Artificial Intelligence · 2019
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
- Artificial Intelligence — 37 citations into it
- Safety, Robustness & Interpretability — 28 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Rafael Pinot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Christian Szegedy
- Kaiming He
- Nicholas Carlini
- Geoffrey E. Hinton
- Liam Paninski
- Ian J. Goodfellow
- Jia Deng
- Yoshua Bengio
- Yann LeCun
Papers from Rafael Pinot's perspective
Ordered by how strongly the researchers Rafael Pinot trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)