Haw-Shiuan Chang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Haw-Shiuan Chang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Kaiming He
  7. L. Eon Bottou
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Haw-Shiuan Chang overall

  1. Hwanjun Song
  2. Kawin Ethayarajh
  3. Lu Jiang
  4. Nicholas Carlini
  5. Hyun-woo Koh
  6. Uta Büchler
  7. Tian Li
  8. Steven Euijong Whang
  9. Mengye Ren
  10. Zhiting Hu

Papers from Haw-Shiuan Chang's perspective

Ordered by how strongly the researchers Haw-Shiuan Chang 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  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