Hsin-Tien Chiang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hsin-Tien Chiang trusts overall

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

  1. Lovedeep Gondara
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Djork-Arné Clevert
  5. Xugang Lu
  6. Jimmy Ba
  7. Li Deng
  8. Yaniv Taigman
  9. Yoshua Bengio
  10. Sepp Hochreiter

Who trusts Hsin-Tien Chiang overall

  1. Shubhojeet Chatterjee

Papers from Hsin-Tien Chiang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers