data-free learning

Data-Free Sketch-Based Image Retrieval CVPR 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023 Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning ICLR 2023 Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning ICCV 2023 Augmented Geometric Distillation for Data-Free Incremental Person ReID CVPR 2022 DENSE: Data-Free One-Shot Federated Learning NeurIPS 2022 Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NeurIPS 2022 Exploring Effective Data for Surrogate Training Towards Black-Box Attack CVPR 2022 Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation NeurIPS 2022 Towards Data-Free Domain Generalization ACML 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Up to 100x Faster Data-Free Knowledge Distillation AAAI 2022 Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning ICCV 2021 Contrastive Model Invertion for Data-Free Knolwedge Distillation IJCAI 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021 Data-Free Knowledge Distillation for Object Detection WACV 2021 Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021 Data-Free Model Extraction CVPR 2021 Data-Free Universal Adversarial Perturbation and Black-Box Attack ICCV 2021 Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation WACV 2021 Learning Student Networks in the Wild CVPR 2021 Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples NeurIPS 2021