А.В. Куракин
Publications by Year
Research Areas
Legal and Regulatory Analysis, Legal and Policy Issues, Domain Adaptation and Few-Shot Learning, Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning
Most-Cited Works
- → FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence(2020)2,264 cited
- ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring(2020)
- → ReMixMatch: Semi-Supervised Learning with Distribution Alignment and\n Augmentation Anchoring(2019)321 cited
- → Adversarial Examples that Fool both Computer Vision and Time-Limited Humans(2018)155 cited
- → How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy(2023)127 cited
- → AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain\n Adaptation(2021)60 cited
- → High Accuracy and High Fidelity Extraction of Neural Networks(2019)55 cited