Anastasia Chan
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
- Large Language Models — 7 citations into it
- Safety Research — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Anastasia Chan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Luciano Floridi
- Li Lucy
- David Bamman
- Massimo Chiriatti
- Thilo Hagendorff
- Aaron Plasek
- Vincent C. Müller
- Long Ouyang
- Tom B. Brown
- Michael Haenlein
Who trusts Anastasia Chan overall
Papers from Anastasia Chan's perspective
Ordered by how strongly the researchers Anastasia Chan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Language Models are Unsupervised Multitask Learners
- ImageNet: A large-scale hierarchical image database