Yusuke Narita

Statistics and Probability · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yusuke Narita trusts overall

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

  1. Adith Swaminathan
  2. Steffen Rendle
  3. Lihong Li
  4. Stefan Wager
  5. Sébastien Bubeck
  6. Keith Knight
  7. R´emi Munos
  8. J. Langford
  9. Xiaohong Chen
  10. Thorsten Joachims

Who trusts Yusuke Narita overall

  1. Nathan Kallus

Papers from Yusuke Narita's perspective

Ordered by how strongly the researchers Yusuke Narita 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. Reinforcement Learning: An Introduction
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Human-level control through deep reinforcement learning

Their papers