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cs.LG2025
Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration
Dongkyu Cho, Miao Zhang, Rumi Chunara
Data augmentation is a widely used strategy to improve model robustness and generalization by enriching training datasets with synthetic examples. While large language models (LLMs…
cs.CV2025
Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling
Lexiao Zou, Gongwei Chen, Yanda Chen +1
Dataset distillation aims to encapsulate the rich information contained in dataset into a compact distilled dataset but it faces performance degradation as the image-per-class (IPC…