Kota Nakashima

2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Kota Nakashima trusts

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

  1. Otkrist Gupta (in Federated & Distributed Learning)
  2. Ramesh Raskar (in Federated & Distributed Learning)

Papers from Kota Nakashima's perspective

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

  1. Distributed learning of deep neural network over multiple agents
  2. R EDUCING LEAKAGE IN DISTRIBUTED DEEP LEARNING FOR SENSITIVE HEALTH DATA
  3. On the importance of initialization and momentum in deep learning
  4. Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications (Italian National Conference on Sensors)
  5. Millimeter Wave Communication: A Comprehensive Survey (IEEE Communications Surveys and Tutorials)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Reading Digits in Natural Images with Unsupervised Feature Learning
  8. Backpropagation Applied to Handwritten Zip Code Recognition
  9. ImageNet classification with deep convolutional neural networks
  10. ImageNet: A large-scale hierarchical image database

Their papers