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data-free distillation

13 papers

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knowledge distillation (11) model compression (7) data-free knowledge distillation (3) generative adversarial network (2) neural network (2) data-free learning (2) intellectual property (1) prompt learning (1) privacy-preserving learning (1) gradient estimation (1)

Papers

Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025 Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation ICLR 2025 Data-free Distillation of Diffusion Models with Bootstrapping ICML 2024 LLM-QAT: Data-Free Quantization Aware Training for Large Language Models ACL 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation AAAI 2024 DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning NeurIPS 2023 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022 Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NeurIPS 2022 Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt IJCAI 2022 Undistillable: Making A Nasty Teacher That CANNOT teach students ICLR 2021 Adversarial Self-Supervised Data-Free Distillation for Text Classification EMNLP 2020 Knowledge Extraction with No Observable Data NeurIPS 2019