William Chen

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom William Chen trusts overall

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

  1. Tony Zhao
  2. Matthias Minderer
  3. Zipeng Fu

Papers from William Chen's perspective

Ordered by how strongly the researchers William Chen 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. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers