"foundation model fine-tuning" Papers

6 papers found

Filters:foundation model fine-tuningClear all

Conference

AAAI 2025 (3,028)COLM 2025 (418)CVPR 2025 (2,873)ICCV 2025 (2,701)ICLR 2025 (3,827)ICML 2025 (3,340)ISMAR 2025 (229)NEURIPS 2025 (5,858)AAAI 2024 (2,289)CVPR 2024 (2,716)ECCV 2024 (2,387)ICLR 2024 (2,297)ICML 2024 (2,635)

Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models

Mengyang Sun, Yihao Wang, Tao Feng et al.

ICML 2025arXiv:2502.15828
6
citations

Iterative Foundation Model Fine-Tuning on Multiple Rewards

Pouya M. Ghari, simone sciabola, Ye Wang

NEURIPS 2025arXiv:2511.00220

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning

Danni Peng, Yuan Wang, Huazhu Fu et al.

AAAI 2025paperarXiv:2501.01653

Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control

Georgios Papoudakis, Thomas Coste, Jianye Hao et al.

NEURIPS 2025arXiv:2509.01720

Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond

Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger et al.

ICML 2024arXiv:2402.17327
16
citations

Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models

Fangzhao Zhang, Mert Pilanci

ICML 2024arXiv:2402.02347
35
citations