Patrick Putzky

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 132 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Putzky trusts overall

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

  1. Hava T. Siegelmann
  2. Karol Gregor
  3. Liyang Jiang
  4. Kostadin Dabov
  5. Yann LeCun
  6. Michael Elad
  7. Yoshua Bengio
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Diederik P. Kingma

Who trusts Patrick Putzky overall

  1. Jonas Adler
  2. Niki Kilbertus
  3. Hemant Kumar Aggarwal
  4. Harshit Gupta
  5. Ozan Öktem
  6. Andreas Hauptmann
  7. Giambattista Parascandolo
  8. Merry P. Mani
  9. Kyong Hwan Jin
  10. Bernhard Schölkopf

Papers from Patrick Putzky's perspective

Ordered by how strongly the researchers Patrick Putzky 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers