Mayu Sakurada

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Mayu Sakurada trusts overall

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

  1. Mark A. Kramer
  2. Heiko Hoffmann
  3. Pascal Vincent
  4. Simon Hawkins
  5. Hugo Larochelle
  6. Graham J. Williams
  7. Hongxing He
  8. Yoshua Bengio
  9. Rohan A. Baxter
  10. Varun Chandola

Who trusts Mayu Sakurada overall

  1. Liron Bergman
  2. Kilian Batzner
  3. Pramuditha Perera
  4. Sebastian Schmidl
  5. Andrew Cook
  6. Jacopo Castellini
  7. Lukas Ruff
  8. Yu-xin Zhang
  9. Yan Xia
  10. Ane Blázquez-García

Papers from Mayu Sakurada's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers