K. Fisher

with Scherlis · 2016

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

Whom K. Fisher trusts overall

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

  1. Christophe Veaux
  2. Aäron van den Oord
  3. Junichi Yamagishi
  4. Sander Dieleman

Who trusts K. Fisher overall

  1. Arijit Biswas
  2. D. Jia

Papers from K. Fisher's perspective

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

  1. WaveNet: A Generative Model for Raw Audio
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Going deeper with convolutions
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers