Dov Katz

Computer Vision and Pattern Recognition · 2008–2013

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Dov Katz trusts overall

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

  1. Leslie Pack Kaelbling
  2. Radford M. Neal
  3. Christopher J. C. H. Watkins
  4. Kurt Driessens
  5. Ashutosh Saxena
  6. Nathan D. Ratliff
  7. Peter S. Dayan
  8. J. Ramon
  9. Andrew W. Moore
  10. Matthew Thomas Mason

Who trusts Dov Katz overall

  1. Martijn van Otterlo
  2. Lerrel Pinto
  3. Ruben Martinez-Cantin
  4. Abhinav Kumar Gupta
  5. Manuel Lopes

Papers from Dov Katz's perspective

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

  1. Pattern Recognition and Machine Learning
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Near-Optimal Reinforcement Learning in Polynomial Time
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Long Short-Term Memory

Their papers