James Theiler

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom James Theiler trusts overall

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

  1. Alex Smola
  2. Chih-Jen Lin
  3. Bernhard Schölkopf
  4. Eric R. Ziegel
  5. Andreas S. Weigend
  6. Gert Cauwenberghs
  7. Ingo Steinwart
  8. Tomaso A. Poggio
  9. Robert Tibshirani
  10. Bernhard E. Boser

Who trusts James Theiler overall

  1. Thierry Bouwmans
  2. Yangqing Jia
  3. Stephen H. Bach
  4. Olivier Sigaud
  5. D. Basak
  6. Isabelle M Guyon
  7. Holger Hofling
  8. Bin Gu

Papers from James Theiler's perspective

Ordered by how strongly the researchers James Theiler 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. Regression Shrinkage and Selection via the Lasso
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. A training algorithm for optimal margin classifiers
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers