Erin L. Allwein

Artificial Intelligence · 2000–2001

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Erin L. Allwein trusts overall

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

  1. Peter L. Bartlett
  2. Jerome H. Friedman
  3. Vladimir Naumovich Vapni
  4. Robert E. Schapire
  5. Yoav Freund
  6. Leo Breiman
  7. Vladimir Naumovich Vapnik
  8. J. Ross Quinlan
  9. Bernhard Schölkopf
  10. Stephen Della Pietra

Who trusts Erin L. Allwein overall

  1. Koby Crammer
  2. Robert E. Schapire
  3. Peter Buhlmann
  4. Johannes Fürnkranz
  5. Yoram Singer
  6. Emilio Carrizosa
  7. Guo-Xun Yuan
  8. Hwanjo Yu
  9. Antonio Torralba
  10. Peter A. Flach

Papers from Erin L. Allwein's perspective

Ordered by how strongly the researchers Erin L. Allwein 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. The Nature of Statistical Learning Theory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers