Keisuke Kinoshita

Signal Processing · 2010–2023

A researcher in the Science corpus: 15 papers; trusts 77 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Keisuke Kinoshita trusts overall

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

  1. Dong Yu
  2. John R. Hershey
  3. Geoffrey E. Hinton
  4. Emmanuel Vincent
  5. Paris Smaragdis
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Alex Graves
  9. Shinji Watanabe
  10. Y. Hu

Who trusts Keisuke Kinoshita overall

  1. Mirco Ravanelli
  2. Shinji Watanabe
  3. Shota Horiguchi
  4. Yusuke Fujita
  5. Cassia Valentini-Botinhao
  6. Marc Delcroix
  7. Maurizio Omologo
  8. Junichi Yamagishi
  9. Kateřina Žmolíková
  10. Mary Harper

Papers from Keisuke Kinoshita's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers