Claudia Perlich

Artificial Intelligence · 2003–2015

A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Claudia Perlich trusts overall

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

  1. J. Ross Quinlan
  2. Leo Breiman
  3. L. Eon Bottou
  4. Andrew Y. Ng
  5. Jerome H. Friedman
  6. Foster J. Provost
  7. William N. Venables
  8. Hui Zou
  9. Brian M. D’Alessandro
  10. Michael I. Jordan

Who trusts Claudia Perlich overall

  1. Allison Chang
  2. Wei-Yin Loh
  3. Foster J. Provost
  4. R. Caruana
  5. Maytal Saar-Tsechansky
  6. Josh Attenberg
  7. Julian Bauer
  8. Alexandru Niculescu-Mizil
  9. Cynthia Rudin
  10. Vasant Dhar

Papers from Claudia Perlich's perspective

Ordered by how strongly the researchers Claudia Perlich 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers