Quan Vuong

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 12 papers; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Quan Vuong trusts overall

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

  1. Diederik P. Kingma
  2. John Schulman
  3. Danilo Jimenez Rezende
  4. E. Todorov
  5. Ilya Loshchilov
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Sergey Levine
  10. Pieter Abbeel

Papers from Quan Vuong's perspective

Ordered by how strongly the researchers Quan Vuong 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers