Cécile Canovas

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 — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Hardware and Architecture — 5 citations into it
• Model Architectures — 5 citations into it

Whom Cécile Canovas trusts overall

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

1. Sergey Ioffe
2. Henry W. Lin
3. Patrice Y. Simard
4. Suresh Chari
5. Geoffrey E. Hinton
6. Sebastien C. Wong
7. Christian Szegedy
8. Vinod Nair

Papers from Cécile Canovas's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Rectified Linear Units Improve Restricted Boltzmann Machines
3. Improving neural networks by preventing co-adaptation of feature detectors
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Best practices for convolutional neural networks applied to visual document analysis
7. Information Theory: 1948-1998 - Guest Editorial
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Deep Learning
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures - Profiling Attacks Without Pre-processing (2017) — 382 citations