Masaki Asada

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masaki Asada trusts overall

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

  1. Yoon Kim
  2. Diederik P. Kingma
  3. Isabel Segura-Bedmar
  4. Tomas Mikolov
  5. Brian D. Sleeman
  6. María Herrero-Zazo
  7. Y-Lan Boureau
  8. C. D. Santos
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Masaki Asada overall

  1. Jonas Pfeiffer
  2. Samuel Broscheit

Papers from Masaki Asada's perspective

Ordered by how strongly the researchers Masaki Asada 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers