Ricky Laishram

Safety, Robustness & Interpretability · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ricky Laishram trusts overall

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

  1. Battista Biggio
  2. Yann LeCun
  3. Corinna Cortes
  4. Han Xiao
  5. Blaine Nelson
  6. Martin Ester
  7. Michael Brückner
  8. Marco Barreno
  9. Huang Xiao
  10. Pavel Laskov

Who trusts Ricky Laishram overall

  1. Jacob Steinhardt
  2. Katja Auernhammer

Papers from Ricky Laishram's perspective

Ordered by how strongly the researchers Ricky Laishram 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. Gradient-based learning applied to document recognition
  4. Support-Vector Networks
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers