Ben. G. Weinstein

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ben. G. Weinstein trusts overall

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

  1. Steve Branson
  2. Kaiming He
  3. Sharada Prasanna Mohanty
  4. M. Naumann
  5. Ross B. Girshick
  6. Grant Van Horn
  7. Anthony I. Dell
  8. Tsung-Yi Lin
  9. Pietro Perona
  10. David P. Hughes

Who trusts Ben. G. Weinstein overall

  1. Cameron Trotter
  2. Jana Wäldchen
  3. Georgia Atkinson
  4. Mitchell Fennell
  5. Shiori Sagawa
  6. Matt Sharpe

Papers from Ben. G. Weinstein's perspective

Ordered by how strongly the researchers Ben. G. Weinstein 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. ImageNet: A large-scale hierarchical image database
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers