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data augmentation

3,121 papers

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DA

Co-occurring keywords · papers mentioning both

text classification (291) large language model (225) transfer learning (160) image classification (150) representation learning (144) contrastive learning (141) domain adaptation (139) few-shot learning (138) semi-supervised learning (132) self-supervised learning (131)

Papers

Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation IJCAI 2023 EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification EMNLP 2023 Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction EMNLP 2023 Exploiting Cross-Domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition Interspeech 2023 Exploiting Summarization Data to Help Text Simplification EACL 2023 Exploring Data Augmentation for Code Generation Tasks EACL 2023 Exploring Discontinuity for Video Frame Interpolation CVPR 2023 Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation EACL 2023 Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models Interspeech 2023 Exploring Temporally Dynamic Data Augmentation for Video Recognition ICLR 2023 Exploring Zero and Few-shot Techniques for Intent Classification ACL 2023 Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs EMNLP 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023 Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning NeurIPS 2023 Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks AAAI 2023 FerKD: Surgical Label Adaptation for Efficient Distillation ICCV 2023 Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation AAAI 2023 Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation Interspeech 2023 Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NeurIPS 2023 Findings from the Bambara - French Machine Translation Competition (BFMT 2023) EACL 2023 Fine-Grained Classification With Noisy Labels CVPR 2023 FMI-SU at SemEval-2023 Task 7: Two-level Entailment Classification of Clinical Trials Enhanced by Contextual Data Augmentation SemEval 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023 FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NeurIPS 2023 Frequency-dependent Image Reconstruction Error for Micro Defect Detection ACML 2023