D. Newby

Computer Vision and Pattern Recognition · 2000–2021

A researcher in the Science corpus: 16 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Newby trusts

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

  1. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  2. Yann LeCun (in Computer Vision and Pattern Recognition)
  3. Thomas Brox (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from D. Newby's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers