Shimei Pan
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 5 papers; trusts 41 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it; #17,420 of 35,345 by trust here, #18,586 by citations
- Safety, Robustness & Interpretability — 26 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Safety Research — 24 citations into it; #1,993 of 5,829 by trust here, #4,390 by citations
- Natural Language Processing — 19 citations into it
- Representation & Self-Supervised Learning — 19 citations into it
- Sociology and Political Science — 15 citations into it; #8,993 of 22,756 by trust here, #18,468 by citations
- AI Ethics, Fairness & Society — 13 citations into it
Whom Shimei Pan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ron Kohavi
- Cynthia Dwork
- Tomas Mikolov
- Ellen M. Voorhees
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Yann LeCun
- Omer Levy
- Ronan Collobert
Who trusts Shimei Pan overall
Papers from Shimei Pan's perspective
Ordered by how strongly the researchers Shimei Pan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- An Intersectional Definition of Fairness (2018) — 231 citations
- Bayesian Modeling of Intersectional Fairness: The Variance of Bias (2018) — 47 citations
- Machine learning on big data: Opportunities and challenges (2017) — 1,043 citations
- Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts (2017) — 37 citations
- An Uncertainty-Aware Approach for Exploratory Microblog Retrieval (2015) — 63 citations