David Enthoven
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #24,858 of 35,345 by trust here, #32,362 by citations
- Privacy & Security — 24 citations into it
- Safety, Robustness & Interpretability — 21 citations into it
- Federated & Distributed Learning — 18 citations into it
- Signal Processing — 7 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Computer Science Applications — 5 citations into it
Whom David Enthoven trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Payman Mohassel
- El Mahdi El Mhamdi
- Kamalika Chaudhuri
- Geoffrey E. Hinton
- Cynthia Dwork
- Alex Krizhevsky
- Yann LeCun
- Joppe W. Bos
- H. Brendan McMahan
- Benjamin I. P. Rubinstein
Who trusts David Enthoven overall
Papers from David Enthoven's perspective
Ordered by how strongly the researchers David Enthoven 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies (2020) — 60 citations