"regression tasks" Papers
7 papers found
Conference
Additive Models Explained: A Computational Complexity Approach
Shahaf Bassan, Michal Moshkovitz, Guy Katz
NEURIPS 2025arXiv:2510.21292
1
citations
Dimension Agnostic Neural Processes
Hyungi Lee, Chaeyun Jang, Dong Bok Lee et al.
ICLR 2025arXiv:2502.20661
3
citations
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
Yinjie Min, Furong Xu, Xinyao Li et al.
NEURIPS 2025
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
Lucas Berry, David Meger
NEURIPS 2025
Neural Networks Perform Sufficient Dimension Reduction
Shuntuo Xu, Zhou Yu
AAAI 2025paperarXiv:2412.19033
3
citations
Semi-supervised Deep Transfer for Regression without Domain Alignment
Mainak Biswas, Ambedkar Dukkipati, Devarajan Sridharan
ICCV 2025arXiv:2509.05092
Torch-Uncertainty: Deep Learning Uncertainty Quantification
Adrien Lafage, Olivier Laurent, Firas Gabetni et al.
NEURIPS 2025spotlight