Keikichi Hirose

2013

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

Whom Keikichi Hirose trusts overall

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

  1. Mark John Francis Gales

Who trusts Keikichi Hirose overall

  1. Li Deng
  2. Dong Yu

Papers from Keikichi Hirose's perspective

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

  1. A Fast Learning Algorithm for Deep Belief Nets
  2. Extracting and composing robust features with denoising autoencoders
  3. Recurrent Neural Networks for Noise Reduction in Robust ASR
  4. Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition (IEEE Transactions on Audio, Speech, and Language Processing)
  5. Model-Based Approaches to Handling Uncertainty
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers