Charles Lin
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it; #19,644 of 35,345 by trust here, #11,192 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #14,373 of 21,575 by trust here, #9,722 by citations
- Natural Language Processing — 28 citations into it
- Large Language Models — 25 citations into it; #454 of 799 by trust here, #555 by citations
- Information Retrieval & Search — 11 citations into it
- Optimization & Training — 6 citations into it
Whom Charles Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Alex Graves
- Yann LeCun
- Jimmy Ba
- J. Urgen Schmidhuber
Who trusts Charles Lin overall
Papers from Charles Lin's perspective
Ordered by how strongly the researchers Charles Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Fast Model Editing at Scale (2021) — 580 citations
- Memory-Based Model Editing at Scale (2022) — 561 citations