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data-free learning

57 papers

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knowledge distillation (41) model compression (26) generative adversarial network (8) neural network (8) synthetic data generation (5) adversarial attack (5) generative model (5) catastrophic forgetting (5) continual learning (5) federated learning (5)

Papers

Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning AAAI 2026 Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025 Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior CVPR 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025 EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data WACV 2025 Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting AAAI 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation AAAI 2025 Hybrid Data-Free Knowledge Distillation AAAI 2025 One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering WACV 2025 Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models ICLR 2025 Toward Efficient Data-Free Unlearning AAAI 2025 Federated Learning via Input-Output Collaborative Distillation AAAI 2024 FREE: Faster and Better Data-Free Meta-Learning CVPR 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation CVPR 2024 Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation AAAI 2024 Self-Regulated Data-Free Knowledge Amalgamation for Text Classification NAACL 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 Adaptive Data-Free Quantization CVPR 2023 A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks NeurIPS 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023 ConStruct-VL: Data-Free Continual Structured VL Concepts Learning CVPR 2023 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint CVPR 2023