"model selection" Papers
11 papers found
Conference
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
Lei Shen, Zhenheng Tang, Lijun Wu et al.
ICLR 2025
4
citations
Lookahead Routing for Large Language Models
Canbin Huang, Tianyuan Shi, Yuhua Zhu et al.
NEURIPS 2025arXiv:2510.19506
MetaOOD: Automatic Selection of OOD Detection Models
Yuehan Qin, Yichi Zhang, Yi Nian et al.
ICLR 2025arXiv:2410.03074
16
citations
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Kaizheng Wang
NEURIPS 2025arXiv:2302.10160
15
citations
SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge et al.
NEURIPS 2025arXiv:2502.06753
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
Taejong Joo, Diego Klabjan
ICML 2024arXiv:2310.10611
1
citations
LEAD: Exploring Logit Space Evolution for Model Selection
Zixuan Hu, Xiaotong Li, SHIXIANG TANG et al.
CVPR 2024arXiv:2507.14559
7
citations
Model Assessment and Selection under Temporal Distribution Shift
Elise Han, Chengpiao Huang, Kaizheng Wang
ICML 2024oralarXiv:2402.08672
7
citations
Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm
Mimoun Mohamed, Francois Malgouyres, Valentin Emiya et al.
ICML 2024arXiv:2301.13584
4
citations
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng, Chao Li, Zhun Sun et al.
ICML 2024arXiv:2402.02456
9
citations
Towards Realistic Model Selection for Semi-supervised Learning
Muyang Li, Xiaobo Xia, Runze Wu et al.
ICML 2024