Sarit Kraus

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Sarit Kraus trusts overall

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

  1. Peter Stone
  2. Richard S. Sutton
  3. Andrew Barto
  4. Sylvain Gelly
  5. Levente Kocsis
  6. Matthew E. Taylor
  7. Manuela M. Veloso
  8. Vincent Conitzer

Who trusts Sarit Kraus overall

  1. Stefano V. Albrecht
  2. Iyad Rahwan
  3. Nicholas R. Jennings
  4. Sarvapali D. Ramchurn
  5. Peter Stone
  6. Pablo Hernandez-Leal
  7. Arrasy Rahman
  8. Owen Macindoe
  9. Alessio R. Lomuscio
  10. Barbara Messing

Papers from Sarit Kraus's perspective

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

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

Their papers