CrossSplit: Mitigating Label Noise Memorization through Data Splitting

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CrossSplit: Mitigating Label Noise Memorization through Data Splitting

International Conference on Machine Learning (ICML), 2022

3 December 2022

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Papers citing "CrossSplit: Mitigating Label Noise Memorization through Data Splitting"

7 / 7 papers shown

Title
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning Hanxuan Wang Na Lu Xueying Zhao Yuxuan Yan Kaipeng Ma Kwoh Chee Keong Gustavo Carneiro NoLa 245 1 0 22 Feb 2025
Combating Semantic Contamination in Learning with Label NoiseAAAI Conference on Artificial Intelligence (AAAI), 2024 Wenxiao Fan Kan Li NoLa 985 1 0 16 Dec 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 203 6 0 21 Oct 2024
CLIPCleaner: Cleaning Noisy Labels with CLIPACM Multimedia (MM), 2024 Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 386 14 0 19 Aug 2024
Discovering environments with XRMInternational Conference on Machine Learning (ICML), 2023 Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 194 21 0 28 Sep 2023
Learning with Noisy Labels through Learnable Weighting and Centroid SimilarityIEEE International Joint Conference on Neural Network (IJCNN), 2023 F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 268 5 0 16 Mar 2023
Improve Noise Tolerance of Robust Loss via Noise-AwarenessIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 239 7 0 18 Jan 2023