T. Nguyen

Artificial Intelligence · with Beggel · 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 T. Nguyen trusts

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

  1. Xavier Gastaldi (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from T. Nguyen's perspective

Ordered by how strongly the researchers T. 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. Aggregated Residual Transformations for Deep Neural Networks
  4. Automatic differentiation in PyTorch
  5. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers