Chi-Hung Hsu

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Chi-Hung Hsu trusts overall

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

  1. Chelsea Finn
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Pieter Abbeel
  7. Sergey Levine
  8. Jan Peters
  9. Ilya Sutskever
  10. Brian D. Ziebart

Who trusts Chi-Hung Hsu overall

  1. Gaurav Menghani
  2. Dimitrios Stamoulis
  3. Xiangxiang Chu
  4. Mingxing Tan
  5. Sheng-Chun Kao
  6. Jianlong Chang
  7. Xinbang Zhang
  8. Martin Wistuba
  9. Chris Zhang
  10. Ting-Wu Chin

Papers from Chi-Hung Hsu's perspective

Ordered by how strongly the researchers Chi-Hung Hsu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers