C. Hurwitz

Generative Models · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Hurwitz trusts overall

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

  1. Thomas G. Dietterich
  2. Wes McKinney
  3. Sebastian Nowozin
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Daniel N. Hill

Papers from C. Hurwitz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers