Ta-Chu Kao

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ta-Chu Kao trusts overall

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

  1. James Martens
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Gido M. van de Ven
  5. Michalis K. Titsias
  6. Jimmy Ba
  7. Radford M. Neal
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Zoubin Ghahramani

Who trusts Ta-Chu Kao overall

  1. Jorge Armando Mendez Mendez
  2. Liyuan Wang
  3. Sen Lin
  4. Zhenyi Wang
  5. Shuang Li
  6. Gido M. van de Ven
  7. Eric Eaton
  8. Kristopher T. Jensen
  9. Xingxing Zhang
  10. Li Yang

Papers from Ta-Chu Kao's perspective

Ordered by how strongly the researchers Ta-Chu Kao 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers