Pi-Chuan Chang

Molecular Biology · Nature Biotechnology · 2016–2023

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

Subfields

Whom Pi-Chuan Chang trusts overall

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

  1. Heng Li
  2. Erik P. Garrison
  3. Christian Szegedy

Papers from Pi-Chuan Chang's perspective

Ordered by how strongly the researchers Pi-Chuan Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Language Models are Unsupervised Multitask Learners
  3. Multitask Learning
  4. ImageNet classification with deep convolutional neural networks
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. A unified architecture for natural language processing: deep neural networks with multitask learning
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers