Y. Tashiro

Artificial Intelligence · Nature · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Tashiro trusts overall

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

  1. Yang Song
  2. Stefano Ermon
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Jonathan Ho
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Zahra Kadkhodaie
  9. J. Matheson
  10. Jacob Devlin

Who trusts Y. Tashiro overall

  1. Juan Miguel Lopez Alcaraz
  2. Alexandros Graikos
  3. William Harvey
  4. Wenjie Fu
  5. Hanqun Cao
  6. Ling Yang
  7. Nils Strodthoff
  8. Esmeralda S. Whitammer

Papers from Y. Tashiro's perspective

Ordered by how strongly the researchers Y. Tashiro 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. GENERATIVE ADVERSARIAL NETS

Their papers