Patricia MacWilliams

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Patricia MacWilliams trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Patricia MacWilliams's perspective

Ordered by how strongly the researchers Patricia MacWilliams 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. Learning Multiple Layers of Features from Tiny Images
  3. Reading Digits in Natural Images with Unsupervised Feature Learning
  4. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  5. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  6. Data-Efficient Image Recognition with Contrastive Predictive Coding
  7. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
  8. Learning Representations by Maximizing Mutual Information Across Views
  9. ImageNet classification with deep convolutional neural networks
  10. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Their papers