Hyenkyun Woo

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyenkyun Woo trusts overall

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

  1. Andrzej S. Cichocki
  2. Jure Leskovec
  3. Jingu Kim
  4. Chih-Jen Lin
  5. Haesun Park
  6. Chris H. Q. Ding
  7. Paul Tseng
  8. Hyunsoo Kim
  9. Luigi Grippo
  10. Aleksandar Lazarevic

Who trusts Hyenkyun Woo overall

  1. Nan Du

Papers from Hyenkyun Woo's perspective

Ordered by how strongly the researchers Hyenkyun Woo 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Learning the parts of objects by non-negative matrix factorization
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers