Hieu Tat Nguyen

International Conference on Machine Learning · 2004

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Whom Hieu Tat Nguyen trusts overall

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

  1. Simon Tong
  2. Andrew McCallum
  3. Kamal Nigam
  4. David D. Lewis
  5. Nicholas A. Roy
  6. Tong Zhang
  7. Daphne Koller
  8. William A. Gale
  9. Edward Y. Chang
  10. Thorsten Joachims

Who trusts Hieu Tat Nguyen overall

  1. Xin Li
  2. Zhipeng Luo
  3. Burr Settles
  4. Kai Wei
  5. Martin Mundt
  6. Yi Yang
  7. Yuhong Guo
  8. Milos Hauskrecht
  9. Zhi-Hua Zhou
  10. Been Kim

Papers from Hieu Tat Nguyen's perspective

Ordered by how strongly the researchers Hieu Tat Nguyen 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers