Kiyokuni Kawachiya

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kiyokuni Kawachiya trusts

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

  1. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Kiyokuni Kawachiya's perspective

Ordered by how strongly the researchers Kiyokuni Kawachiya 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. Identity Mappings in Deep Residual Networks
  4. Training Deep Nets with Sublinear Memory Cost
  5. Gradient-based learning applied to document recognition
  6. A computational model for TensorFlow: an introduction
  7. vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design
  8. Long Short-Term Memory
  9. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
  10. Superneurons: dynamic GPU memory management for training deep neural networks

Their papers