Kathryn S. Burch

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kathryn S. Burch trusts overall

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

  1. Julien Mairal
  2. Christopher K. I. Williams
  3. Diederik P. Kingma
  4. R. Caruana
  5. Bernhard Schölkopf
  6. Geoffrey E. Hinton

Papers from Kathryn S. Burch's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. ImageNet: A large-scale hierarchical image database

Their papers