Yuki Katsumata

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuki Katsumata trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. L. V. D. van der Maaten
  4. Yoav Benjamini
  5. Hila Gonen
  6. David Arthur
  7. Ilya Sutskever
  8. Piotr Bojanowski
  9. Yoshua Bengio
  10. Tianlu Wang

Papers from Yuki Katsumata's perspective

Ordered by how strongly the researchers Yuki Katsumata 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers