F. Uchiyama

Computer Vision and Pattern Recognition · 2019

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 F. Uchiyama trusts

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

  1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from F. Uchiyama's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Et al
  3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Improved Techniques for Training GANs
  6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Visualizing Data using t-SNE

Their papers