Takuya Higuchi

Signal Processing · 2013–2021

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Takuya Higuchi trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Emmanuel Vincent

Papers from Takuya Higuchi's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. A Fast Learning Algorithm for Deep Belief Nets
  3. Going deeper with convolutions
  4. Recurrent neural network based language model
  5. Training Products of Experts by Minimizing Contrastive Divergence
  6. ImageNet classification with deep convolutional neural networks
  7. Long Short-Term Memory
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers