Sho Takase

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 233 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sho Takase trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Sepp Hochreiter
  6. Oriol Vinyals
  7. Diederik P. Kingma
  8. J. Urgen Schmidhuber
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Sho Takase overall

  1. Jun Suzuki
  2. Masaaki Nagata
  3. Marco Damonte
  4. Wojciech Kryscinski
  5. Ioannis Konstas
  6. Shun Kiyono
  7. Shay B. Cohen
  8. Rui Zhang

Papers from Sho Takase's perspective

Ordered by how strongly the researchers Sho Takase 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers