Shay Maymon

Signal Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 10 citations into it
• Artificial Intelligence — 9 citations into it

Whom Shay Maymon trusts overall

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

1. Tara N. Sainath
2. Hynek Hermansky
3. Geoffrey E. Hinton
4. Stéphane Mallat
5. Vinod Nair

Papers from Shay Maymon's perspective

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

1. Rectified Linear Units Improve Restricted Boltzmann Machines
2. Efficient BackProp
3. ImageNet classification with deep convolutional neural networks
4. Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Deep convolutional neural networks for LVCSR
10. Improving deep neural networks for LVCSR using rectified linear units and dropout

Their papers

• Deep Scattering Spectrum with deep neural networks (2014) — 38 citations