Co-occurring keywords · papers mentioning both
Papers
Boosting Sentiment Analysis in Persian through a GAN-Based Synthetic Data Augmentation Method
COLING 2025
Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
ICLR 2025
BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
CVPR 2025
Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection via Cross-Domain Retrieval Augmentation
ICCV 2025
BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks
EMNLP 2025
Bridging the Data Gap in Financial Sentiment: LLM-Driven Augmentation
ACL 2025
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
NAACL 2025
Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud
COLING 2025
Building a Functional Machine Translation Corpus for Kpelle
ACL 2025
BUINUS at IWSLT: Evaluating the Impact of Data Augmentation and QLoRA-based Fine-Tuning for Maltese to English Speech Translation
ACL 2025
CabinSep: IR-Augmented Mask-Based MVDR for Real-Time In-car Speech Separation with Distributed Heterogeneous Arrays
Interspeech 2025
CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval
SemEval 2025
CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation
WACV 2025
Cap2Aug: Caption Guided Image Data Augmentation
WACV 2025
CATE Estimation With Potential Outcome Imputation From Local Regression
UAI 2025
CDAˆ2: Counterfactual Diffusion Augmentation for Cross-Domain Adaptation in Low-Resource Sentiment Analysis
COLING 2025
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents
EMNLP 2025
ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data
ACL 2025
Clarity Amidst Blur: A Deterministic Method for Synthetic Generation of Water Droplets on Camera Lenses
WACV 2025
Combining Automated and Manual Data for Effective Downstream Fine-Tuning of Transformers for Low-Resource Language Applications
ACL 2025
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
AAAI 2025
Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
EMNLP 2025
Contrastive Learning from Synthetic Audio Doppelgängers
ICLR 2025
CoPrUS: Consistency Preserving Utterance Synthesis towards more realistic benchmark dialogues
COLING 2025
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
WACV 2025