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Gongfan Fang
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Data-free adversarial distillation
G Fang, J Song, C Shen, X Wang, D Chen, M Song
arXiv preprint arXiv:1912.11006, 2019
932019
Contrastive Model Inversion for Data-Free Knowledge Distillation
G Fang, J Song, X Wang, C Shen, X Wang, M Song
International Joint Conference on Artificial Intelligence (IJCAI), 2021, 2021
292021
Knowledge amalgamation from heterogeneous networks by common feature learning
S Luo, X Wang, G Fang, Y Hu, D Tao, M Song
International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2019
262019
Up to 100 Faster Data-free Knowledge Distillation
G Fang, K Mo, X Wang, J Song, S Bei, H Zhang, M Song
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022, 2021
24*2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
G Fang, Y Bao, J Song, X Wang, D Xie, C Shen, M Song
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021, 2021
202021
DepGraph: Towards Any Structural Pruning
G Fang, X Ma, M Song, MB Mi, X Wang
The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
102023
Adversarial Self-Supervised Data-Free Distillation for Text Classification
X Ma, Y Shen, G Fang, C Chen, C Jia, W Lu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
102020
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
X Ma, X Wang, G Fang, Y Shen, W Lu
International Joint Conference on Artificial Intelligence (IJCAI), 2022, 2022
42022
LLM-Pruner: On the Structural Pruning of Large Language Models
X Ma, G Fang, X Wang
arXiv preprint arXiv:2305.11627, 2023
12023
Structural Pruning for Diffusion Models
G Fang, X Ma, X Wang
arXiv preprint arXiv:2305.10924, 2023
2023
Federated Selective Aggregation for Knowledge Amalgamation
D Xie, R Yu, G Fang, J Song, Z Feng, X Wang, L Sun, M Song
arXiv preprint arXiv:2207.13309, 2022
2022
Knowledge Amalgamation for Object Detection with Transformers
H Zhang, F Mao, M Xue, G Fang, Z Feng, J Song, M Song
IEEE Transactions on Image Processing, 2022
2022
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data–Supplementary Material–
G Fang, Y Bao, J Song, X Wang, D Xie, C Shen, M Song
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Artikler 1–13