Thanh Dai Nguyen

Artificial Intelligence · 2018

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 Thanh Dai Nguyen trusts overall

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

  1. Donald R. Jones
  2. Jasper Snoek
  3. Roman Garnett
  4. Daniel J. Lizotte
  5. Chris J. Thornton
  6. Ruben Martinez-Cantin
  7. Nando de Freitas
  8. Hugo Larochelle
  9. Eric Brochu
  10. Frank Hutter

Papers from Thanh Dai Nguyen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Practical Bayesian Optimization of Machine Learning Algorithms
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Long Short-Term Memory

Their papers