ICLR Poster "uncertainty estimation" Papers
10 papers found
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
ICLR 2025posterarXiv:2501.14997
1
citations
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar et al.
ICLR 2025posterarXiv:2405.15047
3
citations
Do LLMs estimate uncertainty well in instruction-following?
Juyeon Heo, Miao Xiong, Christina Heinze-Deml et al.
ICLR 2025posterarXiv:2410.14582
13
citations
Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi et al.
ICLR 2025posterarXiv:2406.04306
27
citations
Multi-domain Distribution Learning for De Novo Drug Design
Arne Schneuing, Ilia Igashov, Adrian Dobbelstein et al.
ICLR 2025posterarXiv:2508.17815
11
citations
Neural Context Flows for Meta-Learning of Dynamical Systems
Roussel Desmond Nzoyem, David Barton, Tom Deakin
ICLR 2025posterarXiv:2405.02154
7
citations
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
Guoxuan Xia, Olivier Laurent, Gianni Franchi et al.
ICLR 2025posterarXiv:2403.14715
7
citations
Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
Zexu Sun, Yiju Guo, Yankai Lin et al.
ICLR 2025poster
3
citations
Uncertainty modeling for fine-tuned implicit functions
Anna Susmelj, Mael Macuglia, Natasa Tagasovska et al.
ICLR 2025posterarXiv:2406.12082
2
citations
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat et al.
ICLR 2025posterarXiv:2410.11711