Chia-Che Chang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chia-Che Chang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Jimmy Ba
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ilya Sutskever
  9. Ian J. Goodfellow
  10. Karen Simonyan

Who trusts Chia-Che Chang overall

  1. Jianping Gou
  2. Shiyu Chang
  3. Chieh Hubert Lin
  4. Baosheng Yu
  5. Yen-Chi Cheng

Papers from Chia-Che Chang's perspective

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

Their papers