Michel A. Kinsy

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Privacy & Security — 9 citations into it
• Hardware and Architecture — 8 citations into it
• Model Architectures — 6 citations into it

Whom Michel A. Kinsy trusts overall

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

1. Florian Tramèr
2. Yuval Yarom
3. Geoffrey E. Hinton

Papers from Michel A. Kinsy's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Dropout: a simple way to prevent neural networks from overfitting
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Survey of Attacks and Defenses on Edge-Deployed Neural Networks (2019) — 35 citations