Adam Golinski

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Golinski trusts overall

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

  1. David C. Minnen
  2. Johannes Ballé
  3. Jooyoung Lee
  4. Zhengxue Cheng

Papers from Adam Golinski's perspective

Ordered by how strongly the researchers Adam Golinski 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet: A large-scale hierarchical image database
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers