PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models

26 February 2020

Papers citing "PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models"

8 / 8 papers shown

Title
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 59 8 0 25 Sep 2023
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 38 2 0 24 Nov 2021
Federated Unlearning via Class-Discriminative Pruning Junxiao Wang Song Guo Xin Xie Heng Qi MU 13 137 0 22 Oct 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report) Yinjun Wu James Weimer S. Davidson 28 4 0 19 Jul 2021
Certifiable Machine Unlearning for Linear Models Ananth Mahadevan M. Mathioudakis MU 19 45 0 29 Jun 2021
DeltaGrad: Rapid retraining of machine learning models Yinjun Wu Yan Sun S. Davidson MU 32 198 0 26 Jun 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 271 3,717 0 28 Feb 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 144 1,206 0 16 Aug 2016