Simon P. Kelow

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 Simon P. Kelow trusts overall

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

  1. Pascal Vincent
  2. Yoshua Bengio

Papers from Simon P. Kelow's perspective

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

  1. Extracting and composing robust features with denoising autoencoders
  2. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
  7. Long Short-Term Memory
  8. A Connection Between Score Matching and Denoising Autoencoders
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers