Charlie Chen

Model Architectures · 2022–2025

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Charlie Chen trusts overall

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

  1. Noam Shazeer
  2. Yoon Kim
  3. Auke J. Wiggers
  4. Mitchell Stern
  5. Shashi Narayan
  6. Yang Song
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Tim Dettmers

Who trusts Charlie Chen overall

  1. Yuhui Li
  2. Heming Xia
  3. Yaniv Leviathan
  4. Sehoon Kim
  5. Fangyun Wei
  6. Yichao Fu
  7. Tianle Cai
  8. Tianle Cai
  9. Peize Sun
  10. Chao Zhang

Papers from Charlie Chen's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers