Reo Yoneyama

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Reo Yoneyama trusts overall

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

  1. Masanori Morise
  2. Jean-Marc Valin
  3. Alan McCree
  4. Hideki Kawahara
  5. Wei Ping
  6. Xin Eric Wang
  7. Nal Kalchbrenner
  8. Liyuan Liu
  9. Ryuichi Yamamoto
  10. Jan Skoglund

Papers from Reo Yoneyama's perspective

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

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

Their papers