Eyal Krupka

Computer Vision and Pattern Recognition · 2007–2015

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eyal Krupka trusts overall

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

  1. Simon S. Haykin
  2. Koby Crammer
  3. Yann LeCun
  4. Risto Miikkulainen
  5. Christopher K. I. Williams
  6. Yoram Singer
  7. L. Eon Bottou
  8. Bart Kosko
  9. Yoshua Bengio
  10. Peter Sollich

Who trusts Eyal Krupka overall

  1. Duy Nguyen-Tuong
  2. Ted Sandler
  3. Jan Peters
  4. John Blitzer
  5. Konstantinos Skianis
  6. Haizi Yu
  7. Partha P. Talukdar

Papers from Eyal Krupka's perspective

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

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

Their papers