Data-Free Knowledge Transfer: A Survey

31 December 2021

Yuang Liu

Wei Zhang

Jun Wang

Jianyong Wang

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Papers citing "Data-Free Knowledge Transfer: A Survey"

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Title
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 151 0 0 11 Apr 2025
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Jinjing Zhu Songze Li Lin Wang 47 0 0 13 Jan 2025
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization Pucheng Dang Xing Hu Dong Li Rui Zhang Qi Guo Kaidi Xu DiffM 36 5 0 18 Aug 2024
Data-free Knowledge Distillation for Fine-grained Visual Categorization Renrong Shao Wei Zhang Jianhua Yin Jun Wang 31 2 0 18 Apr 2024
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 36 11 0 13 Jun 2023
Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan MQ 24 20 0 24 Mar 2023
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yu-Lin Zhuang Lingjuan Lyu Chuan Shi Carl Yang Lichao Sun 27 16 0 08 May 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation Jiacheng Ye Jiahui Gao Qintong Li Hang Xu Jiangtao Feng Zhiyong Wu Tao Yu Lingpeng Kong SyDa 43 212 0 16 Feb 2022
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey G. Csurka Riccardo Volpi Boris Chidlovskii OOD VLM 3DV 65 40 0 06 Dec 2021
Unsupervised Adaptation of Semantic Segmentation Models without Source Data S. Paul Ansh Khurana Gaurav Aggarwal OOD 120 7 0 04 Dec 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 153 212 0 07 Oct 2021
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection Deepti Hegde Vishwanath A. Sindagi Velat Kilic A. Cooper Mark A. Foster Vishal M. Patel 3DPC 129 23 0 29 Sep 2021
Fine-grained Data Distribution Alignment for Post-Training Quantization Yunshan Zhong Mingbao Lin Mengzhao Chen Ke Li Yunhang Shen Rongrong Ji Yongjian Wu Rongrong Ji MQ 84 19 0 09 Sep 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 60 63 0 26 Apr 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021
Domain Impression: A Source Data Free Domain Adaptation Method V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri TTA 151 150 0 17 Feb 2021
Unsupervised Domain Adaptation of Black-Box Source Models Haojian Zhang Yabin Zhang Kui Jia Lei Zhang 124 51 0 08 Jan 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 151 250 0 14 Dec 2020
Relation Distillation Networks for Video Object Detection Jiajun Deng Yingwei Pan Ting Yao Wen-gang Zhou Houqiang Li Tao Mei ObjD 108 191 0 26 Aug 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016