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A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A collection of must-read papers on adversarial attacks and defenses for natural language processing.
A toolbox for adversarial robustness research, focused on building more secure machine learning models.
Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.
A next-generation recommendation system library for building AI-powered content discovery platforms.
A boundary-aware face alignment algorithm for computer vision tasks, published at CVPR 2018.
A library for training neural models with structured signals, useful for AI and machine learning developers.
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