Machine Learning

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models ICML 2025 Data Monitoring for Large Scale Public Health Data AAAI 2025 Data or Language Supervision: What Makes CLIP Better than DINO? EMNLP 2025 Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation IJCAI 2025 Data Pruning by Information Maximization ICLR 2025 Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy COLING 2025 Data Quality Issues in Multilingual Speech Datasets: The Need for Sociolinguistic Awareness and Proactive Language Planning ACL 2025 Data Reconstruction Attacks and Defenses: A Systematic Evaluation AISTATS 2025 Data Retrieval with Importance Weights for Few-Shot Imitation Learning CoRL 2025 Data Scaling Laws in Imitation Learning for Robotic Manipulation ICLR 2025 Data-scarce Behavior Editing of Language Models EMNLP 2025 Data Selection for ERMs COLT 2025 Data Selection via Optimal Control for Language Models ICLR 2025 Dataset Augmentation by Mixing Visual Concepts WACV 2025 Dataset Distillation as Data Compression: A Rate-Utility Perspective ICCV 2025 Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks ICLR 2025 Dataset Distillation via the Wasserstein Metric ICCV 2025 Dataset Distillation via Vision-Language Category Prototype ICCV 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 Dataset of News Articles with Provenance Metadata for Media Relevance Assessment ACL 2025 Dataset Ownership Verification for Pre-trained Masked Models ICCV 2025 Dataset Ownership Verification in Contrastive Pre-trained Models ICLR 2025 Data Shapley in One Training Run ICLR 2025 Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning ICLR 2025 Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise EMNLP 2025