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Anke Tang
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2020 – today
- 2024
- [c3]Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao:
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR 2024 - [c2]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. ICML 2024 - [i7]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. CoRR abs/2402.00433 (2024) - [i6]Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
FusionBench: A Comprehensive Benchmark of Deep Model Fusion. CoRR abs/2406.03280 (2024) - [i5]Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du:
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion. CoRR abs/2406.09770 (2024) - 2023
- [c1]Anke Tang
, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao:
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI 2023: 4244-4252 - [i4]Anke Tang
, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao:
Improving Heterogeneous Model Reuse by Density Estimation. CoRR abs/2305.13871 (2023) - [i3]Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao:
Parameter Efficient Multi-task Model Fusion with Partial Linearization. CoRR abs/2310.04742 (2023) - [i2]Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
Learn From Model Beyond Fine-Tuning: A Survey. CoRR abs/2310.08184 (2023) - [i1]Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao:
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. CoRR abs/2312.06173 (2023)
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last updated on 2024-09-02 21:19 CEST by the dblp team
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