Polina Golland

Computer Vision and Pattern Recognition · 2001–2021

A researcher in the Science corpus: 12 papers; trusts 22 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Polina Golland trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Vladimir Naumovich Vapnik
  3. Bruce Fischl
  4. Yuhai Wu
  5. A. M. Dale
  6. Shun-ichi Amari
  7. Bernhard Schölkopf
  8. Paul M. Thompson
  9. Andrew Y. Ng
  10. C. Burges

Who trusts Polina Golland overall

  1. Battista Biggio
  2. Etienne Combrisson
  3. Igino Corona
  4. Francisco Pereira
  5. Blaine Nelson
  6. Partha P. Talukdar
  7. K. Jerbi
  8. Davide Maiorca
  9. Tom Michael Mitchell
  10. Bruce Fischl

Papers from Polina Golland's perspective

Ordered by how strongly the researchers Polina Golland 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers