Noga Zaslavsky
2015
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 78 researchers here, as inferred from the citation graph.
Whom Noga Zaslavsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Noga Zaslavsky overall
- Alessandro Achille
- Alexander A. Alemi
- Stefano Soatto
- Jacob Andreas
- Luis A. Lastras
- Shrikanth S. Narayanan
- Grace W. Lindsay
- Adar Elad
- Ben Poole
- Rana Ali Amjad
Papers from Noga Zaslavsky's perspective
Ordered by how strongly the researchers Noga Zaslavsky trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- This PDF file includes: Materials and Methods
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Deep Architectures for AI
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Representation Learning: A Review and New Perspectives
Their papers
- Deep learning and the information bottleneck principle (2015) — 2,084 citations