Yasufumi Taniguchi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yasufumi Taniguchi trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Sepp Hochreiter
  5. Sergey Ioffe
  6. Xavier Glorot
  7. Geoffrey E. Hinton
  8. Dzmitry Bahdanau
  9. J. Urgen Schmidhuber
  10. Razvan Pascanu

Who trusts Yasufumi Taniguchi overall

  1. Hayate Iso

Papers from Yasufumi Taniguchi's perspective

Ordered by how strongly the researchers Yasufumi Taniguchi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers