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期刊&会议

ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 会议 · Data Mining

2025-12-01 至 2025-12-01 共收录 1
2511.21952 2025-12-01 cs.LG cs.AI

ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions

ABLE:利用对抗对构建局部模型以解释模型预测

Krishna Khadka, Sunny Shree, Pujan Budhathoki, Yu Lei, Raghu Kacker, D. Richard Kuhn

机构 * University of Texas at Arlington(德克萨斯大学阿灵顿分校) National Institute of Standards and Technology(美国国家标准与技术研究院)

AI总结 ABLE通过生成对抗对构建局部模型,提高模型预测解释的稳定性和保真度。

Comments 10 pages, 2 figures. Accepted to KDD 2026 (Research Track)

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