PLiNIO: A User-Friendly Library of Gradient-based Methods for
Complexity-aware DNN OptimizationForum on Specification and Design Languages (FDL), 2023 |
Tracing and Visualizing Human-ML/AI Collaborative Processes through
Artifacts of Data WorkInternational Conference on Human Factors in Computing Systems (CHI), 2023 |
Generalizing Few-Shot NAS with Gradient MatchingInternational Conference on Learning Representations (ICLR), 2022 |
AutoML: A Survey of the State-of-the-ArtKnowledge-Based Systems (KBS), 2019 |