Christopher Jung
Artificial Intelligence · with Roth · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #26,902 of 35,345 by trust here, #19,873 by citations
- Safety, Robustness & Interpretability — 16 citations into it
- Safety Research — 12 citations into it; #3,850 of 5,829 by trust here, #3,096 by citations
- Privacy & Security — 10 citations into it
- Statistics and Probability — 8 citations into it
Whom Christopher Jung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Aaron Roth
- Michael Kearns
- Seth Neel
- Martin A. Zinkevich
- Moritz Hardt
- Vitaly Feldman
- Jyrki Kivinen
- Alex Krizhevsky
- Alekh Agarwal
Who trusts Christopher Jung overall
Papers from Christopher Jung's perspective
Ordered by how strongly the researchers Christopher Jung trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Fairness through awareness
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Adaptive Machine Unlearning (2021) — 244 citations
- Online Learning with an Unknown Fairness Metric (2018) — 152 citations
- Eliciting and Enforcing Subjective Individual Fairness (2019) — 56 citations