Frédéric Precioso
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #20,704 of 35,345 by trust here, #13,760 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #19,199 of 21,575 by trust here, #17,757 by citations
- Safety, Robustness & Interpretability — 7 citations into it
Whom Frédéric Precioso trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicholas Carlini
- Christian Szegedy
- David A. Wagner
- Ian J. Goodfellow
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
Who trusts Frédéric Precioso overall
Papers from Frédéric Precioso's perspective
Ordered by how strongly the researchers Frédéric Precioso 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Recipe recognition with large multimodal food dataset (2015) — 259 citations
- Assessment of algorithms for mitosis detection in breast cancer histopathology images (2014) — 464 citations
- Adversarial Active Learning for Deep Networks: a Margin Based Approach (2018) — 328 citations