William Ngan

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom William Ngan trusts

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

  1. Jason Aaron Edward Weston (in Artificial Intelligence)
  2. Kurt Shuster (in Natural Language Processing)
  3. Y-Lan Boureau (in Artificial Intelligence)
  4. Emily Dinan (in Artificial Intelligence)
  5. Diederik P. Kingma (in Artificial Intelligence)
  6. Yoshua Bengio (in Artificial Intelligence)

Papers from William Ngan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  5. Improved Techniques for Training GANs
  6. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  7. The Curious Case of Neural Text Degeneration
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. AUTO-ENCODING VARIATIONAL BAYES
  10. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)

Their papers