Koby Todros

Signal Processing · 2013

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Koby Todros trusts overall

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

  1. Arie Yeredor
  2. Jean-François Cardoso
  3. Frank Hampel
  4. Anthony J. Bell
  5. Francis R. Bach
  6. Antoine Souloumiac
  7. Shun-ichi Amari
  8. Eric Learned-Miller
  9. Aapo Hyvärinen
  10. Alan Edelman

Papers from Koby Todros's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. GENERATIVE ADVERSARIAL NETS

Their papers