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mixup augmentation

26 papers

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Also known as

MIXUP

Co-occurring keywords · papers mentioning both

data augmentation (13) representation learning (3) neural network (2) adversarial training (2) object detection (2) adversarial robustness (2) image classification (2) neighbor aggregation (1) fairness constraint (1) attention map (1)

Papers

Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples AAAI 2026 YNU-HPCC at SemEval-2026 Task 9: Hybrid Augmentation and Regularization Strategies for Multilingual Polarization Type Classification SemEval 2026 Adversarial Mixup Unlearning ICLR 2025 Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation MIDL 2025 ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation EMNLP 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NeurIPS 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction COLING 2024 Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions CVPR 2023 Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving CVPR 2023 Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy ACML 2023 RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023 CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision CVPR 2022 It Takes Two to Tango: Mixup for Deep Metric Learning ICLR 2022 Mixup regularization strategies for spoofing countermeasure system Interspeech 2022 Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022 Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks EMNLP 2022 TransMix: Attend To Mix for Vision Transformers CVPR 2022 TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding NAACL 2022 Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity ICLR 2021 Fair Mixup: Fairness via Interpolation ICLR 2021 SelfReg: Self-Supervised Contrastive Regularization for Domain Generalization ICCV 2021 StyleMix: Separating Content and Style for Enhanced Data Augmentation CVPR 2021 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup ICML 2020