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Data Augmentation

3622 directly classified papers

Papers per year

Papers

CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP NAACL 2024
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning ACL 2024
MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models NAACL 2024
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning NAACL 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models NIPS 2024
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions NAACL 2024
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection NAACL 2024
Generating Mental Health Transcripts with SAPE (Spanish Adaptive Prompt Engineering) NAACL 2024
Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation NAACL 2024
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NIPS 2024
CoUDA: Coherence Evaluation via Unified Data Augmentation NAACL 2024
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References NAACL 2024
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems ACL 2024
Defending Object Detection Models Against Image Distortions WACV 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024
SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning WACV 2024
Exploring the Impact of Rendering Method and Motion Quality on Model Performance When Using Multi-View Synthetic Data for Action Recognition WACV 2024
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NIPS 2024
NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes ACL 2024
Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising NAACL 2024
Beyond Document Page Classification: Design, Datasets, and Challenges WACV 2024
Leveraging the Power of Data Augmentation for Transformer-Based Tracking WACV 2024
Learning to Read Analog Gauges from Synthetic Data WACV 2024
Data Augmentation for Object Detection via Controllable Diffusion Models WACV 2024
Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting WACV 2024