Junpei Kawamoto

2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Junpei Kawamoto trusts overall

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

  1. L. Eon Bottou
  2. Kamalika Chaudhuri

Papers from Junpei Kawamoto's perspective

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

  1. Large-Scale Machine Learning with Stochastic Gradient Descent
  2. Privacy-preserving logistic regression
  3. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
  4. GENERATIVE ADVERSARIAL NETS
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers