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Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
v1v2 (latest)

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Neural Information Processing Systems (NeurIPS), 2019
18 June 2019
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
ArXiv (abs)PDFHTML

Papers citing "Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss"

50 / 879 papers shown
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Tong Jia
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A margin-based replacement for cross-entropy loss
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Roger Wattenhofer
459
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SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples
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Yin Wang
Zixuan Wang
Hao Lu
Zhen Qin
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Guanjie Cheng
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Shuiguang Deng
147
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10 Jan 2025
Normalizing Batch Normalization for Long-Tailed RecognitionIEEE Transactions on Image Processing (TIP), 2024
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Guoliang Kang
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Prior2Posterior: Model Prior Correction for Long-Tailed Learning
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CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental
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Reza Bayat
Mohammad Pezeshki
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David Lopez-Paz
Pascal Vincent
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