gradient matching

Beyond Soft Label: Dataset Distillation via Orthogonal Gradient Matching CVPR 2026 Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization CVPR 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 Distilling Long-tailed Datasets CVPR 2025 EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection CVPR 2025 Federated Domain Generalization with Data-free On-server Matching Gradient ICLR 2025 Indirect Gradient Matching for Adversarial Robust Distillation ICLR 2025 Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures ICLR 2025 Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization UAI 2025 Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching ACL 2025 Structure Balance and Gradient Matching-Based Signed Graph Condensation AAAI 2025 Synthetic Text Generation for Training Large Language Models via Gradient Matching ICML 2025 Distilled Datamodel with Reverse Gradient Matching CVPR 2024 Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NeurIPS 2024 Learning Surrogates for Offline Black-Box Optimization via Gradient Matching ICML 2024 Model Merging by Uncertainty-Based Gradient Matching ICLR 2024 Sharpness-Aware Data Generation for Zero-shot Quantization ICML 2024 Transferring Learning Trajectories of Neural Networks ICLR 2024 Ungeneralizable Examples CVPR 2024 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 Dataset Quantization ICCV 2023 Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023 Improved Distribution Matching for Dataset Condensation CVPR 2023 Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation CVPR 2023 NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension AAAI 2023