Tao Zhuang

2020

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

Whom Tao Zhuang trusts

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

  1. Radford M. Neal (in Computer Vision and Pattern Recognition)

Papers from Tao Zhuang's perspective

Ordered by how strongly the researchers Tao Zhuang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Deep Interest Network for Click-Through Rate Prediction
  3. Pattern Recognition and Machine Learning
  4. Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  5. Densely Connected Convolutional Networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers