Jeremy Kun
Artificial Intelligence · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Optimization & Training — 7 citations into it
- Safety Research — 7 citations into it; #1,224 of 5,829 by trust here, #1,624 by citations
- AI Ethics, Fairness & Society — 5 citations into it; #131 of 494 by trust here, #162 by citations
Whom Jeremy Kun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Toon Calders
- Faisal Kamiran
- Toshihiro Kamishima
- Richard S. Zemel
- Robert E. Schapire
- Shai Shalev-Shwartz
- Shotaro Akaho
- Yoav Freund
- Cynthia Dwork
- Ledell Yu Wu
Who trusts Jeremy Kun overall
- Luca Oneto
- Úrsula Hébert-Johnson
- Silvia Chiappa
- Emmanouil Krasanakis
- Sina Baharlouei
- Sina Aghaei
- Sara Hajian
- Jiachun Liao
- Marius Miron
Papers from Jeremy Kun's perspective
Ordered by how strongly the researchers Jeremy Kun trusts endorse each paper. Same corpus, a different order for every researcher.
- Fairness through awareness
- Fairness-Aware Classifier with Prejudice Remover Regularizer
- Fairness-aware Learning through Regularization Approach
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Fair Representations
- Discrimination Aware Decision Tree Learning
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A Confidence-Based Approach for Balancing Fairness and Accuracy (2016) — 265 citations
- Fair Boosting : a Case Study (2015)