Yusuke Kawata

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 Yusuke Kawata trusts overall

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

  1. Geoffrey E. Hinton

Papers from Yusuke Kawata's perspective

Ordered by how strongly the researchers Yusuke Kawata 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Et al
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Gradient-based learning applied to document recognition
  8. Improved Techniques for Training GANs
  9. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers