Yutaka Sasaki

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Yutaka Sasaki trusts overall

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

  1. Michael Collins
  2. Dan Roth
  3. Yoav Freund
  4. Diederik P. Kingma
  5. Lev-Arie Ratinov
  6. John C. Duchi
  7. Yoav Goldberg
  8. Yoon Kim
  9. Geoffrey E. Hinton
  10. Tomas Mikolov

Who trusts Yutaka Sasaki overall

  1. Arzoo Katiyar
  2. Makoto Miwa
  3. Tsu-Jui Fu
  4. Ying Lin
  5. Giannis Bekoulis
  6. Lu Xu
  7. Ben Goodrich
  8. Zhepei Wei
  9. Suncong Zheng
  10. Xiaoya Li

Papers from Yutaka Sasaki's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers