Yair Wiener

Artificial Intelligence · 2010–2014

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yair Wiener trusts overall

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

  1. Peter L. Bartlett
  2. Sanjoy Dasgupta
  3. Vladimir Naumovich Vapnik
  4. Steve Hanneke
  5. Yuhai Wu
  6. David A. Cohn
  7. Ran El-Yaniv
  8. Alina Beygelzimer
  9. Marten H. Wegkamp
  10. Martin H. Anthony

Who trusts Yair Wiener overall

  1. Ran El-Yaniv
  2. Corinna Cortes
  3. Steve Hanneke
  4. Yonatan Geifman
  5. Roei Gelbhart
  6. Giulia DeSalvo
  7. Mehryar Mohri
  8. Vikash Sehwag
  9. Erik Jones
  10. Jia Deng

Papers from Yair Wiener's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Neural Network Learning: Theoretical Foundations
  5. Statistical Learning Theory
  6. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  7. Optimal aggregation of classifiers in statistical learning
  8. A Probabilistic Theory of Pattern Recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers