Kazuaki Yamamoto

2018

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

Whom Kazuaki Yamamoto trusts overall

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

  1. David R Ha

Papers from Kazuaki Yamamoto's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Identity Mappings in Deep Residual Networks
  3. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  4. Image-to-Image Translation with Conditional Adversarial Networks
  5. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
  6. Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
  7. Unsupervised Image-to-Image Translation Networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Recurrent World Models Facilitate Policy Evolution
  10. A Neural Representation of Sketch Drawings

Their papers