Unraveling The Impact of Training Samples
Daiwei Chen · Jane Zhang · Ramya Vinayak
2024 Poster
in
Affinity Event: Blog Track Session 6
in
Affinity Event: Blog Track Session 6
Abstract
How do we quantify the influence of datasets? Recent works on Data Attribution Methods shed light on this problem. In this blog post, we introduce Data Attribution Methods which leverage robust statistics and surrogate functions, and present their applications like distinguishing the feature selection difference of learning algorithms, detecting data leakage, and assessing model robustness.
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