Harris Drucker

Statistical Learning Theory · 1991–1999

A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

Whom Harris Drucker trusts overall

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

  1. Thorsten Joachims
  2. Vladimir Naumovich Vapnik
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Yoav Freund
  6. Anthony B. Atkinson
  7. Vladimir Naumovich Vapni
  8. Robert E. Schapire

Who trusts Harris Drucker overall

  1. Battista Biggio
  2. Aditya Khosla
  3. Joost R. van Amersfoort
  4. Charu C. Aggarwal
  5. Nicolas Papernot
  6. Young Geun Kim
  7. Thomas G. Dietterich
  8. Gabriel Erion-Barner
  9. Kristin P. Bennett
  10. Giorgio Fumera

Papers from Harris Drucker's perspective

Ordered by how strongly the researchers Harris Drucker trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. A training algorithm for optimal margin classifiers

Their papers