Chun-Nam Yu

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Chun-Nam Yu trusts overall

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

  1. Masashi Sugiyama
  2. Lotfi A. Zadeh
  3. Yasemin Altun
  4. Peter D. Grünwald
  5. Alex Smola
  6. Adam L. Berger
  7. Steffen Bickel
  8. Sinno Jialin Pan
  9. Joaquin Quionero-Candela
  10. Corinna Cortes

Who trusts Chun-Nam Yu overall

  1. Shiori Sagawa
  2. Junfeng Wen
  3. Wouter M. Kouw
  4. Sana Tonekaboni
  5. Kun Kuang
  6. Sharan Vaswani

Papers from Chun-Nam Yu's perspective

Ordered by how strongly the researchers Chun-Nam Yu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Correcting Sample Selection Bias by Unlabeled Data
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  10. Long Short-Term Memory

Their papers