Hayahide Yamagishi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hayahide Yamagishi trusts overall

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

  1. Ilya Sutskever
  2. Dzmitry Bahdanau
  3. Kyunghyun Cho
  4. Yoshua Bengio
  5. Tomas Mikolov
  6. Rico Sennrich
  7. Seiya Tokui
  8. Thang Luong
  9. Oriol Vinyals
  10. Geoffrey E. Hinton

Who trusts Hayahide Yamagishi overall

  1. Isaac Caswell
  2. Parker Riley
  3. Shrimai Prabhumoye
  4. David Grangier
  5. Ciprian Chelba

Papers from Hayahide Yamagishi's perspective

Ordered by how strongly the researchers Hayahide Yamagishi 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (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