Yuki Koyama

2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yuki Koyama trusts overall

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

  1. Eric Brochu
  2. Dong C. Liu
  3. Matthias Schonlau
  4. Michael S. Bernstein
  5. Yoav HaCohen
  6. Vladimir Bychkovsky
  7. Nando de Freitas
  8. Jorge Nocedal
  9. Karl Sims
  10. William J. Welch

Papers from Yuki Koyama's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. A Bayesian interactive optimization approach to procedural animation design
  8. Global versus local search in constrained optimization of computer models
  9. ImageNet: A large-scale hierarchical image database
  10. On the limited memory BFGS method for large scale optimization

Their papers