Alexander W. Winkler

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander W. Winkler trusts overall

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

  1. John T. Betts
  2. Andreas Wächter
  3. Gerrit Schultz
  4. Robin Deits
  5. David E. Orin
  6. Igor Mordatch
  7. Russ Tedrake
  8. Shuuji Kajita
  9. Lorenz T. Biegler
  10. Xue Bin Peng

Who trusts Alexander W. Winkler overall

  1. Jared Di Carlo
  2. Patrick M. Wensing

Papers from Alexander W. Winkler's perspective

Ordered by how strongly the researchers Alexander W. Winkler 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Proximal Policy Optimization Algorithms (arXiv.org)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers