Hiroshi Morioka

Representation & Self-Supervised Learning · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroshi Morioka trusts overall

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

  1. Geoffrey E. Hinton
  2. Aapo Hyvärinen
  3. Yoshua Bengio
  4. Xavier Glorot
  5. Diederik P. Kingma
  6. Michael U Gutmann
  7. Laurenz Wiskott
  8. Harri Valpola
  9. Individualized Treat
  10. Alex Krizhevsky

Who trusts Hiroshi Morioka overall

  1. Aapo Hyvärinen
  2. Francesco Locatello
  3. Hermanni Hälvä
  4. Bernhard Schölkopf
  5. Yash Sharma
  6. Yoshua Bengio
  7. Sindy Löwe
  8. Julius von Kügelgen
  9. Sébastien Lachapelle
  10. Luigi Gresele

Papers from Hiroshi Morioka's perspective

Ordered by how strongly the researchers Hiroshi Morioka 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers