C. Xuan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Xuan trusts overall

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

  1. Andrew Y. Ng
  2. Geoffrey E. Hinton

Papers from C. Xuan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. ImageNet: A large-scale hierarchical image database
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Recurrent neural network based language model
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers