Dana Drachsler-Cohen

Safety, Robustness & Interpretability · 2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dana Drachsler-Cohen trusts overall

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

  1. Alex Krizhevsky
  2. Xiaowei Huang
  3. Yann LeCun
  4. Anthony Dewayne Hunt
  5. D. Wood
  6. Geoffrey E. Hinton
  7. Ilya Sutskever

Who trusts Dana Drachsler-Cohen overall

  1. Martin T. Vechev

Papers from Dana Drachsler-Cohen's perspective

Ordered by how strongly the researchers Dana Drachsler-Cohen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. Intriguing properties of neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Explaining and Harnessing Adversarial Examples
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. GradientBased Learning Applied to Document Recognition

Their papers