Co-occurring keywords · papers mentioning both
Papers
Action Sequence Augmentation for Action Anticipation
ICLR 2025
Adapting Whisper for low-resource Hindi-English Code-Mix speech with on-the-fly Augmentation & LLM-Synthesised Data
Interspeech 2025
ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution
CVPR 2025
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
ACL 2025
Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models
EMNLP 2025
Adversarial Exploitation of Data Diversity Improves Visual Localization
ICCV 2025
Adversarial Latent Feature Augmentation for Fairness
ICLR 2025
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
CVPR 2025
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
AISTATS 2025
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)
AAAI 2025
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
NAACL 2025
AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning
ACL 2025
AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition
SemEval 2025
AkibaNLP-TUT: Injecting Language-Specific Word-Level Noise for Low-Resource Language Translation
EMNLP 2025
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
NAACL 2025
Aligning Contrastive Multiple Clusterings with User Interests
IJCAI 2025
A Little Human Data Goes A Long Way
ACL 2025
Alzheimer’s Dementia Detection Using Perplexity from Paired Large Language Models
Interspeech 2025
An Analysis of the Impact of Problem Paraphrasing on LLM-Based Mathematical Problem Solving
IJCNLP 2025
Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.
SemEval 2025
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
ICML 2025
An Augmentation Overlap Theory of Contrastive Learning
JMLR 2025
ANVITA : A Multi-pronged Approach for Enhancing Machine Translation of Extremely Low-Resource Indian Languages
EMNLP 2025
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
AAAI 2025
A Practical Method for Generating String Counterfactuals
NAACL 2025