Kaoru Ota

Computer Networks and Communications · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Kaoru Ota trusts overall

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

  1. Ross B. Girshick
  2. Nicholas Donald Lane
  3. Surat Teerapittayanon
  4. Xavier Gibert
  5. He Li
  6. Xiaojie Wang
  7. Weiyang Liu
  8. Ashkan Yousefpour
  9. Ashia C. Wilson
  10. Mohammad Abu Alsheikh

Who trusts Kaoru Ota overall

  1. Massimo Merenda
  2. Wen Sun
  3. Liangzhi Li
  4. Yiwen Han
  5. H. Hua
  6. Md Maruf Hossain Shuvo
  7. Fatima Hussain
  8. Zhi Zhou
  9. JingJing Wang
  10. M. G. Sarwar Murshed

Papers from Kaoru Ota's perspective

Ordered by how strongly the researchers Kaoru Ota 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers