Chieh-Yen Lin

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Chieh-Yen Lin trusts overall

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

  1. Bernhard E. Boser
  2. Guo-Xun Yuan
  3. Alekh Agarwal
  4. Chih-Jen Lin
  5. Muthu Dayalan
  6. Vladimir Naumovich Vapnik
  7. Isabelle M Guyon
  8. Chia-Hua Ho
  9. Olivier Chapelle

Who trusts Chieh-Yen Lin overall

  1. Jakub Konecný
  2. Yuchen Zhang
  3. Ching-pei Lee
  4. Guo-Xun Yuan
  5. Yong Zhuang
  6. Xiao Lin
  7. Chih-Jen Lin
  8. Chia-Hua Ho
  9. Cong Han Lim
  10. H. Brendan McMahan

Papers from Chieh-Yen Lin's perspective

Ordered by how strongly the researchers Chieh-Yen Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A training algorithm for optimal margin classifiers
  2. LIBLINEAR: A Library for Large Linear Classification
  3. MapReduce: simplified data processing on large clusters
  4. A reliable effective terascale linear learning system
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Regression Shrinkage and Selection via the Lasso
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Learning Multiple Layers of Features from Tiny Images

Their papers