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Found 6 papers, 5 papers with code
EcoVal: An Efficient Data Valuation Framework for Machine Learning
In this paper, we introduce an efficient data valuation framework EcoVal, to estimate the value of data for machine learning models in a fast and practical manner.
Deep Regression Unlearning
In the last few years, there have been notable developments in machine unlearning to remove the information of certain training data efficiently and effectively from ML models.
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
We present several baseline models for comparative analysis of the proposed evaluation metric with existing generative models.
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher
It facilitates the provision for removal of certain set or class of data from an already trained ML model without requiring retraining from scratch.
Zero-Shot Machine Unlearning
In case of machine learning (ML) applications, this necessitates deletion of data not only from storage archives but also from ML models.
Fast Yet Effective Machine Unlearning
In the impair step, the noise matrix along with a very high learning rate is used to induce sharp unlearning in the model.
