Large-Scale Generative Data-Free Distillation

10 December 2020

Papers citing "Large-Scale Generative Data-Free Distillation"

9 / 9 papers shown

Title
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang Miao Zhang Yuzhang Shang Jianlong Wu Yan Yan Liqiang Nie DiffM 60 10 0 05 Sep 2024
Sampling to Distill: Knowledge Transfer from Open-World Data Yuzheng Wang Zhaoyu Chen Jie M. Zhang Dingkang Yang Zuhao Ge Yang Liu Siao Liu Yunquan Sun Wenqiang Zhang Lizhe Qi 26 9 0 31 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo-Lu Zhao Dacheng Tao VLM 24 19 0 17 Jul 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? Zheng Li Yuxuan Li Penghai Zhao Renjie Song Xiang Li Jian Yang 29 19 0 22 May 2023
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation Kien Do Hung Le D. Nguyen Dang Nguyen Haripriya Harikumar T. Tran Santu Rana Svetha Venkatesh 18 32 0 21 Sep 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 20 17 0 31 May 2022
Synthesizing Informative Training Samples with GAN Bo-Lu Zhao Hakan Bilen DD 21 74 0 15 Apr 2022
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data Kuluhan Binici N. Pham T. Mitra K. Leman 17 40 0 11 Aug 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 46 161 0 17 Jun 2021