Ngai Wong

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ngai Wong trusts

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

  1. Yoshua Bengio (in Artificial Intelligence)
  2. Geoffrey E. Hinton (in Artificial Intelligence)
  3. Oriol Vinyals (in Artificial Intelligence)
  4. Tomas Mikolov (in Artificial Intelligence)

Papers from Ngai Wong's perspective

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

  1. Distilling the Knowledge in a Neural Network (arXiv.org)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Improving Language Understanding by Generative Pre-Training
  5. ImageNet classification with deep convolutional neural networks
  6. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
  9. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  10. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)

Their papers