data augmentation

Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition CVPR 2026 A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation JMLR 2026 A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images CVPR 2026 A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026 AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments AAAI 2026 AlignFix: A Tool for Parallel Corpora Augmentation and Refinement EACL 2026 A Multi-Aspect Evaluation Framework for Synthetic Data: Case Study on Irony and Sarcasm EACL 2026 ASC: Learning Augmentation Severity-Consistent Representations Improves Generalization via Augmentation Search WACV 2026 A Survey of Inductive Reasoning for Large Language Models ACL 2026 Attribution Analysis-based Concept Alignment: A Human-in-the-loop Data Debugging Framework AAAI 2026 Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization AAAI 2026 Augmenting with NeRFs: Fast Relocalization on Densified Datasets WACV 2026 AuthSig: Safeguarding Scanned Signatures Against Unauthorized Reuse in Paperless Workflows AAAI 2026 AutoGameUI: Constructing High-Fidelity GameUI via Multimodal Correspondence Matching AAAI 2026 baellouf at AbjadMed: Efficient Fine-tuning with All-Linear LoRA for Arabic Medical QA Classification EACL 2026 Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production AAAI 2026 Balancing Fluency and Adherence: Hybrid Fallback Term Injection in Low-Resource Terminology Translation EACL 2026 Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition EACL 2026 Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification CVPR 2026 Binary Token-Level Classification with DeBERTa for All-Type MWE Identification: A Lightweight Approach with Linguistic Enhancement EACL 2026 Bolster Hallucination Detection via Prompt-Guided Data Augmentation AAAI 2026 Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction EACL 2026 CCNU at SemEval-2026 Task 10: Conspiracy Marker Extraction and Detection via Multi-task Learning and LLM-based Data Augmentation SemEval 2026 ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing AAAI 2026 ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets CVPR 2026