Daniel Levy

Artificial Intelligence · with Beal · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Privacy & Security — 15 citations into it
• Model Architectures — 9 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Daniel Levy trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Craig Gentry
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. David Harvey
7. Xavier Glorot
8. Kaiming He
9. Ilya Sutskever
10. Diederik P. Kingma

Papers from Daniel Levy's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference (2018) — 228 citations