Yoel Shkolnisky

Computer Vision and Pattern Recognition · 2006–2015

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yoel Shkolnisky trusts overall

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

  1. Vladimir Rokhlin
  2. Mikhail Belkin
  3. Gregory Beylkin
  4. Ulrike von Luxburg
  5. Nathan Halko
  6. Jianbo Shi
  7. Lawrence K. Saul
  8. Partha Niyogi
  9. Lucas Monzón
  10. Matan Gavish

Who trusts Yoel Shkolnisky overall

  1. George C. Linderman
  2. Federico Monti
  3. Per-Gunnar Martinsson
  4. Cameron Musco

Papers from Yoel Shkolnisky's perspective

Ordered by how strongly the researchers Yoel Shkolnisky 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. Normalized cuts and image segmentation
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. A tutorial on spectral clustering
  9. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers