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cs.LG2022★ 1 cited
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang, Xuyang Zhao, Jun Yao +2
Real-world large-scale datasets are both noisily labeled and class-imbalanced. The issues seriously hurt the generalization of trained models. It is hence significant to address th…
cs.LG2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang, Yuxin Ren, Zihao Wang +1
Instance-dependent label noise is realistic but rather challenging, where the label-corruption process depends on instances directly. It causes a severe distribution shift between…