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data imbalance

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Co-occurring keywords · papers mentioning both

multi-label classification (4) text classification (4) representation learning (4) long-tail distribution (3) convolutional neural network (3) class imbalance (3) named entity recognition (3) transfer learning (3) contrastive learning (3) federated learning (3)

Papers

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances IJCAI 2022 Sentence-Level Resampling for Named Entity Recognition NAACL 2022 CTAB-GAN: Effective Table Data Synthesizing ACML 2021 Learning To Predict Visual Attributes in the Wild CVPR 2021 Robust Optimization for Multilingual Translation with Imbalanced Data NeurIPS 2021 Dice Loss for Data-imbalanced NLP Tasks ACL 2020 Identifying Nuanced Dialect for Arabic Tweets with Deep Learning and Reverse Translation Corpus Extension System COLING 2020 Re-Weighted Interval Loss for Handling Data Imbalance Problem of End-to-End Keyword Spotting Interspeech 2020 IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition CVPR 2019 Learning With Unsure Data for Medical Image Diagnosis ICCV 2019 Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding EMNLP 2019 Angle-based Multicategory Distance-weighted SVM JMLR 2017