Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty

Yeseul Cho; Baekrok Shin; Changmin Kang; Chulhee Yun

2025 ICML ICML 2025

Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Vision

Authors

Yeseul Cho, Baekrok Shin, Changmin Kang, Chulhee Yun

Topics

Machine Learning > Application Areas > Efficient Computing Computer Vision > Processing > Image Restoration Deep Learning > Optimization & Theory > Model Compression

Keywords

prediction uncertainty beta distribution dataset pruning example difficulty imagenet-1k pruning ratio-adaptive sampling

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