Alina Beygelzimer

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 9 papers; trusts 44 researchers and is trusted by 127 researchers here, as inferred from the citation graph.

Subfields

Whom Alina Beygelzimer trusts overall

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

  1. J. Langford
  2. Yoav Freund
  3. Bianca Zadrozny
  4. Sanjoy Dasgupta
  5. Peter Auer
  6. Naoki Abe
  7. Robert E. Schapire
  8. Nicolò Cesa-Bianchi
  9. Trevor J. Hastie
  10. Sham M. Kakade

Who trusts Alina Beygelzimer overall

  1. Nathan Kallus
  2. Miroslav Dud'ik
  3. Adith Swaminathan
  4. Lihong Li
  5. Jia Deng
  6. Thorsten Joachims
  7. J. Langford
  8. Sanjoy Dasgupta
  9. Susan Athey
  10. Alekh Agarwal

Papers from Alina Beygelzimer's perspective

Ordered by how strongly the researchers Alina Beygelzimer 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers