Frank R. Schmidt

Safety, Robustness & Interpretability · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 66 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Frank R. Schmidt trusts overall

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

  1. Ian J. Goodfellow
  2. Kaiming He
  3. Alex Krizhevsky
  4. Xiaowei Huang
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Alexey Kurakin
  8. Anish Athalye
  9. Nicholas Carlini
  10. Marco Cuturi

Who trusts Frank R. Schmidt overall

  1. Eric Wong
  2. Huan Zhang
  3. Liwei Song
  4. Francesco Croce
  5. Shiqi Wang
  6. Leslie Rice
  7. A. Serban
  8. Hadi Salman
  9. Klas Leino
  10. Sungyoon Lee

Papers from Frank R. Schmidt's perspective

Ordered by how strongly the researchers Frank R. Schmidt 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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