George Biros

Computer Vision and Pattern Recognition · 2003–2019

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom George Biros trusts overall

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

  1. Gene H. Golub
  2. Y. Saad
  3. Roger Fletcher
  4. Leslie Greengard
  5. Oscar P. Bruno
  6. James Martens
  7. Andreas Griewank

Who trusts George Biros overall

  1. Joaquim R. Martins
  2. Roland Herzog
  3. A. Gholami
  4. Roscoe A. Bartlett
  5. Ioannis Epanomeritakis
  6. Michael J. Shelley
  7. John T. Hwang
  8. Karl Kunisch
  9. Volkan Akcelik
  10. Kurt Keutzer

Papers from George Biros's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Density estimation using Real NVP
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers