Hideitsu Hino

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hideitsu Hino trusts overall

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

  1. Peter Kairouz
  2. Jianhua Lin
  3. Dakshi Agrawal
  4. Weiran Wang
  5. Yong Bao
  6. Trevor J. Hastie
  7. John C. Duchi
  8. Cynthia Dwork
  9. Ú. Erlingsson
  10. Andrew Gelman

Papers from Hideitsu Hino's perspective

Ordered by how strongly the researchers Hideitsu Hino 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. Gradient-based learning applied to document recognition
  4. Randomized response: a survey technique for eliminating evasive answer bias.
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Their papers