Anke Tang

Orcid: 0000-0002-0576-8153

According to our database¹, Anke Tang authored at least 10 papers between 2023 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2024

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.

[BibT_eX]

[DOI]

CoRR, 2024

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.

[BibT_eX]

[DOI]

CoRR, 2024

SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

FusionBench: A Comprehensive Benchmark of Deep Model Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion.

[BibT_eX]

[DOI]

CoRR, 2023

Learn From Model Beyond Fine-Tuning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Heterogeneous Model Reuse by Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Anke Tang

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