Joel Ross

Computer Science Applications · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Joel Ross trusts overall

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

  1. A. Sorokin
  2. Aniket Kittur
  3. Rion Snow
  4. D.A. Forsyth
  5. Ed H. Chi
  6. Daniel E. Rose
  7. Brendan T. O'Connor
  8. Jia Deng
  9. Luis von Ahn
  10. Bongwon Suh

Who trusts Joel Ross overall

  1. Donna Vakharia
  2. Gabriele Paolacci
  3. A. M. Farrell
  4. Cristiano Codagnone
  5. Adam W. Hanley
  6. Vanessa S. Williamson
  7. Panagiotis G. Ipeirotis
  8. Jialiu Lin
  9. Vili Lehdonvirta
  10. Lisa Posch

Papers from Joel Ross's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers