data augmentation

3037 papers

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Also known as

DA-MCMC DADA DA TTA ADA EDA

Co-occurring keywords

text classification (6776) large language model (12755) transfer learning (5442) semi-supervised learning (2331) few-shot learning (3390) domain adaptation (4578) machine translation (2472) image classification (1943) language model (4573) low-resource language (2234)

Papers

CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation EMNLP 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024

Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems ACL 2024

Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition IJCAI 2024

MorphingMinds at SemEval-2024 Task 10: Emotion Recognition in Conversation in Hindi-English Code-Mixed Conversations NAACL 2024

Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques ACL 2024

Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation NAACL 2024

Targeted Augmentation for Low-Resource Event Extraction NAACL 2024

Simple and effective data augmentation for compositional generalization NAACL 2024

Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation ACL 2024

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning ACL 2024

LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation ACL 2024

Mustango: Toward Controllable Text-to-Music Generation NAACL 2024

Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries NAACL 2024

SCaLAR at SemEval-2024 Task 8: Unmasking the machine : Exploring the power of RoBERTa Ensemble for Detecting Machine Generated Text NAACL 2024

On the Robustness of Neural Models for Full Sentence Transformation NAACL 2024

Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text SEMEVAL 2024

MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection SEMEVAL 2024

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness NAACL 2024

Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text NAACL 2024

Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024

PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations NIPS 2024