Paul Koch

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Koch trusts overall

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

  1. Jerome H. Friedman
  2. Yin Lou
  3. R. Caruana
  4. Peter Buhlmann
  5. Simon N. Wood
  6. Alan Y. Chiang
  7. Trevor J. Hastie
  8. Giles Hooker
  9. Marco Tulio Ribeiro
  10. Robert Tibshirani

Who trusts Paul Koch overall

  1. Sarah Tan
  2. Cynthia Rudin
  3. Ashraf Abdul
  4. Wojciech Samek
  5. Giles Hooker
  6. R. Caruana
  7. Rishabh Agarwal
  8. Hongjoon Ahn
  9. Gesina Schwalbe
  10. Christoph Molnar

Papers from Paul Koch's perspective

Ordered by how strongly the researchers Paul Koch 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. The Elements of Statistical Learning
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers