CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise

16 May 2021

Papers citing "CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise"

8 / 8 papers shown

Title
When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections Keryan Chelouche Marie Lachaize Marine Bernard Louise Olgiati Remi Cuingnet NoLa 21 0 0 10 Oct 2024
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training Ming-Kun Xie Jia-Hao Xiao Pei Peng Gang Niu Masashi Sugiyama Sheng-Jun Huang 46 3 0 09 Apr 2024
Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm Shikun Li Xiaobo Xia Han Zhang Shiming Ge Tongliang Liu NoLa 19 0 0 22 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 26 8 0 02 Sep 2023
A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance Qiongdan Lou Zhaohong Deng K. Choi Shitong Wang 26 2 0 09 Jan 2023
What killed the Convex Booster ? Yishay Mansour Richard Nock Robert C. Williamson 11 1 0 19 May 2022
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 55 172 0 24 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017