Hsin-Te Hwang

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Hsin-Te Hwang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Tomoki Toda
  4. Heiga Zen
  5. Keiichi Tokuda
  6. Yoshua Bengio
  7. Linghui Chen
  8. Hideki Kawahara
  9. Sam T. Roweis
  10. Max Welling

Who trusts Hsin-Te Hwang overall

  1. Chin-Cheng Hsu
  2. Hirokazu Kameoka
  3. Takuhiro Kaneko
  4. Berrak Sisman
  5. Junichi Yamagishi
  6. Yi-Chiao Wu
  7. Sercan Ö. Arik
  8. Xin Eric Wang
  9. Mingyang Zhang
  10. Wei-Ning Hsu

Papers from Hsin-Te Hwang's perspective

Ordered by how strongly the researchers Hsin-Te Hwang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers