Roei Gelbhart

Artificial Intelligence · 2017

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 Roei Gelbhart trusts overall

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

  1. Ran El-Yaniv
  2. Sanjoy Dasgupta
  3. Olivier Bousquet
  4. Yair Wiener
  5. David A. Cohn
  6. Maria-Florina Balcan
  7. Daniel J. Hsu
  8. Tzu-Kuo Huang
  9. Steve Hanneke
  10. Alexandre B. Tsybakov

Who trusts Roei Gelbhart overall

  1. Yonatan Geifman

Papers from Roei Gelbhart's perspective

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

  1. Optimal aggregation of classifiers in statistical learning
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. A General Agnostic Active Learning Algorithm (International Symposium on Artificial Intelligence and Mathematics)
  5. Improving Generalization with Active Learning
  6. Long Short-Term Memory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Agnostic active learning
  10. Going deeper with convolutions

Their papers