Constance Morel

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Privacy & Security — 10 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Constance Morel trusts overall

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

1. Craig Gentry
2. Shai Halevi
3. Zvika Brakerski
4. Nigel P. Smart
5. Pascal Paillier
6. Geoffrey E. Hinton

Papers from Constance Morel's perspective

Ordered by how strongly the researchers Constance Morel trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Improving neural networks by preventing co-adaptation of feature detectors
4. Caffe: Convolutional Architecture for Fast Feature Embedding
5. Speech recognition with deep recurrent neural networks
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. FaceNet: A unified embedding for face recognition and clustering
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Privacy-Preserving Classification on Deep Neural Network (2017) — 281 citations