Data-Free Network Quantization With Adversarial Knowledge Distillation

8 May 2020

Papers citing "Data-Free Network Quantization With Adversarial Knowledge Distillation"

50 / 69 papers shown

Title
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free ApplicationsInternational Conference on Machine Learning (ICML), 2025 Zixuan Hu Yongxian Wei Li Shen Zhenyi Wang Lei Li Chun Yuan Dacheng Tao 24 7 0 31 Oct 2025
Conditional Pseudo-Supervised Contrast for Data-Free Knowledge DistillationPattern Recognition (Pattern Recogn.), 2023 Renrong Shao Wei Zhang Ning Yang 56 10 0 03 Oct 2025
CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge DistillationDesign Automation Conference (DAC), 2025 Zherui Zhang Changwei Wang Rongtao Xu Wenyuan Xu Shibiao Xu Yu Zhang Li Guo 197 2 0 30 Apr 2025
Knowledge Distillation: Enhancing Neural Network Compression with Integrated Gradients David E. Hernandez J. Chang Torbjörn E. M. Nordling 174 1 0 17 Mar 2025
Defense Against Model Stealing Based on Account-Aware Distribution DiscrepancyAAAI Conference on Artificial Intelligence (AAAI), 2025 Jian-Ping Mei Weibin Zhang Jie Chen Xinyu Zhang Tiantian Zhu AAML 144 0 0 16 Mar 2025
Toward Efficient Data-Free UnlearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Chenhao Zhang Shaofei Shen Weitong Chen Miao Xu MU 230 2 0 18 Dec 2024
Relation-Guided Adversarial Learning for Data-free Knowledge TransferInternational Journal of Computer Vision (IJCV), 2024 Yingping Liang Ying Fu 177 3 0 16 Dec 2024
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation Minh-Tuan Tran Trung Le Xuan-May Le Jianfei Cai Mehrtash Harandi Dinh Q. Phung 199 3 0 26 Nov 2024
Data Generation for Hardware-Friendly Post-Training QuantizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Lior Dikstein Ariel Lapid Arnon Netzer H. Habi MQ 769 1 0 29 Oct 2024
A method of using RSVD in residual calculation of LowBit GEMM Hongyaoxing Gu MQ 145 0 0 27 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any ArchitectureComputer Vision and Pattern Recognition (CVPR), 2024 Qianlong Xiang Miao Zhang Yuzhang Shang Yue Yu Yan Yan Liqiang Nie DiffM 199 12 0 05 Sep 2024
Small Scale Data-Free Knowledge Distillation He Liu Yikai Wang Huaping Liu Fuchun Sun Anbang Yao 152 18 0 12 Jun 2024
Data-free Knowledge Distillation for Fine-grained Visual Categorization Renrong Shao Wei Zhang Jianhua Yin Jun Wang 126 6 0 18 Apr 2024
Efficient Data-Free Model Stealing with Label Diversity Yiyong Liu Rui Wen Michael Backes Yang Zhang AAML 139 3 0 29 Mar 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts Yuzheng Wang Dingkang Yang Zhaoyu Chen Yang Liu Siao Liu Wenqiang Zhang Lihua Zhang Lizhe Qi 130 15 0 28 Mar 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge DistillationInternational Conference on Learning Representations (ICLR), 2024 Zihao Tang Zheqi Lv Shengyu Zhang Yifan Zhou Xinyu Duan Leilei Gan Kun Kuang 222 4 0 11 Mar 2024
Model Compression Techniques in Biometrics Applications: A Survey Eduarda Caldeira Pedro C. Neto Marco Huber Naser Damer Ana F. Sequeira 186 12 0 18 Jan 2024
Direct Distillation between Different DomainsEuropean Conference on Computer Vision (ECCV), 2024 Jialiang Tang Shuo Chen Gang Niu Hongyuan Zhu Qiufeng Wang Chen Gong Masashi Sugiyama 186 6 0 12 Jan 2024
Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images Logan Frank Jim Davis 125 2 0 20 Oct 2023
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models Miaoxi Zhu Qihuang Zhong Li Shen Liang Ding Juhua Liu Bo Du Dacheng Tao MQ VLM 108 2 0 20 Oct 2023
Robustness-Guided Image Synthesis for Data-Free QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Jianhong Bai Yuchen Yang Huanpeng Chu Hualiang Wang Zuo-Qiang Liu Ruizhe Chen Xiaoxuan He Lianrui Mu Chengfei Cai Haoji Hu DiffM MQ 281 6 0 05 Oct 2023
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge DistillationComputer Vision and Pattern Recognition (CVPR), 2023 Minh-Tuan Tran Trung Le Xuan-May Le Mehrtash Harandi Quan Hung Tran Dinh Q. Phung 178 23 0 30 Sep 2023
Jumping through Local Minima: Quantization in the Loss Landscape of Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2023 N. Frumkin Dibakar Gope Diana Marculescu MQ 181 17 0 21 Aug 2023
Sampling to Distill: Knowledge Transfer from Open-World DataACM Multimedia (ACM MM), 2023 Yuzheng Wang Zhaoyu Chen Jie M. Zhang Dingkang Yang Zuhao Ge Yang Liu Siao Liu Yunquan Sun Wenqiang Zhang Lizhe Qi 99 10 0 31 Jul 2023
Distribution Shift Matters for Knowledge Distillation with Webly Collected ImagesIEEE International Conference on Computer Vision (ICCV), 2023 Jialiang Tang Shuo Chen Gang Niu Masashi Sugiyama Chenggui Gong 100 15 0 21 Jul 2023
Customizing Synthetic Data for Data-Free Student LearningIEEE International Conference on Multimedia and Expo (ICME), 2023 Shiya Luo Defang Chen Can Wang 75 2 0 10 Jul 2023
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksEuropean Signal Processing Conference (EUSIPCO), 2023 Adrian Holzbock Achyut Hegde Klaus C. J. Dietmayer Vasileios Belagiannis 78 0 0 22 Jun 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? Zheng Li Yuxuan Li Penghai Zhao Renjie Song Xiang Li Jian Yang 137 24 0 22 May 2023
Model Conversion via Differentially Private Data-Free DistillationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Bochao Liu Pengju Wang Shikun Li Dan Zeng Shiming Ge FedML 103 5 0 25 Apr 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving ServicesIEEE Communications Surveys and Tutorials (COMST), 2023 Dewant Katare Diego Perino J. Nurmi M. Warnier Marijn Janssen Aaron Yi Ding 226 54 0 13 Apr 2023
Out of Thin Air: Exploring Data-Free Adversarial Robustness DistillationAAAI Conference on Artificial Intelligence (AAAI), 2023 Yuzheng Wang Zhaoyu Chen Dingkang Yang Pinxue Guo Kaixun Jiang Wenqiang Zhang Lizhe Qi AAML 120 9 0 21 Mar 2023
Data-Free Sketch-Based Image RetrievalComputer Vision and Pattern Recognition (CVPR), 2023 Abhra Chaudhuri A. Bhunia Yi-Zhe Song Anjan Dutta 144 12 0 14 Mar 2023
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge DistillationComputer Vision and Pattern Recognition (CVPR), 2023 Gaurav Patel Konda Reddy Mopuri Qiang Qiu 137 36 0 28 Feb 2023
Explicit and Implicit Knowledge Distillation via Unlabeled DataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Yuzheng Wang Zuhao Ge Zhaoyu Chen Xiangjian Liu Chuang Ma Yunquan Sun Lizhe Qi 158 11 0 17 Feb 2023
BOMP-NAS: Bayesian Optimization Mixed Precision NASDesign, Automation and Test in Europe (DATE), 2023 David van Son F. D. Putter Sebastian Vogel Henk Corporaal MQ 105 5 0 27 Jan 2023
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge DistillationKnowledge-Based Systems (KBS), 2022 Hyungmin Kim Sungho Suh Sunghyun Baek Daehwan Kim Daun Jeong Hansang Cho Junmo Kim 107 9 0 20 Nov 2022
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers N. Frumkin Dibakar Gope Diana Marculescu ViT MQ 182 1 0 17 Nov 2022
Long-Range Zero-Shot Generative Deep Network QuantizationNeural Networks (NN), 2022 Yan Luo Yangcheng Gao Zhao Zhang Haijun Zhang Mingliang Xu Meng Wang MQ 172 10 0 13 Nov 2022
Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network QuantizationInternational Conference on Information Photonics (ICIP), 2021 Yoojin Choi Mostafa El-Khamy Jungwon Lee GAN 109 1 0 26 Oct 2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge DistillationNeural Information Processing Systems (NeurIPS), 2022 Kien Do Hung Le D. Nguyen Dang Nguyen Haripriya Harikumar T. Tran Santu Rana Svetha Venkatesh 104 40 0 21 Sep 2022
Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning StrategyInformation Sciences (Inf. Sci.), 2022 Jingru Li Sheng Zhou Liangcheng Li Haishuai Wang Zhi Yu Jiajun Bu 190 19 0 29 Aug 2022
QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit QuantizationInternational Conference on Pattern Recognition (ICPR), 2022 Fadi Boutros Naser Damer Arjan Kuijper CVBM MQ 89 41 0 21 Jun 2022
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware TrainingInternational Conference on Machine Learning (ICML), 2022 Charbel Sakr Steve Dai Rangharajan Venkatesan B. Zimmer W. Dally Brucek Khailany MQ 119 49 0 13 Jun 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 104 21 0 31 May 2022
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature SharingIEEE transactions on multimedia (IEEE TMM), 2022 Zhiwei Hao Yong Luo Zhi Wang Han Hu J. An 123 35 0 24 May 2022
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental LearningIEEE International Joint Conference on Neural Network (IJCNN), 2022 Fanfan Ye Liang Ma Qiaoyong Zhong Di Xie Shiliang Pu BDL CLL 99 2 0 23 May 2022
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the TeacherComputer Vision and Pattern Recognition (CVPR), 2022 Kanghyun Choi Hye Yoon Lee Deokki Hong Joonsang Yu Noseong Park Youngsok Kim Jinho Lee MQ 207 35 0 31 Mar 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian ApproximationInternational Conference on Learning Representations (ICLR), 2022 Cong Guo Yuxian Qiu Jingwen Leng Xiaotian Gao Chen Zhang Yunxin Liu Fan Yang Yuhao Zhu Minyi Guo MQ 168 82 0 14 Feb 2022
Distillation from heterogeneous unlabeled collections Jean-Michel Begon Pierre Geurts 68 0 0 17 Jan 2022
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 171 53 0 31 Dec 2021