Matthew Fahrbach

Computational Theory and Mathematics · 2018

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Fahrbach trusts overall

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

  1. Eric Balkanski
  2. Alex Krizhevsky
  3. Ian Simon
  4. Yaron Singer
  5. Alina Ene
  6. Baharan Mirzasoleiman
  7. Jure Leskovec
  8. F. Maxwell Harper
  9. Rahul Mazumder
  10. Noah Snavely

Who trusts Matthew Fahrbach overall

  1. Jesse Vig
  2. Sharon Qian
  3. Sebastian Gehrmann
  4. Yaron Singer
  5. Yonatan Belinkov
  6. Daniel Nevo
  7. Vahab S. Mirrokni
  8. Stuart M. Shieber
  9. Morteza Zadimoghaddam

Papers from Matthew Fahrbach's perspective

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

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

Their papers