2025 Poster "uncertainty estimation" Papers
15 papers found
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.
NeurIPS 2025posterarXiv:2505.18512
1
citations
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
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
Maregu Assefa, Muzammal Naseer, IYYAKUTTI IYAPPAN GANAPATHI et al.
CVPR 2025posterarXiv:2504.04566
6
citations
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
Yinjie Min, Furong Xu, Xinyao Li et al.
NeurIPS 2025poster
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
Quantifying Uncertainty in the Presence of Distribution Shifts
Yuli Slavutsky, David Blei
NeurIPS 2025posterarXiv:2506.18283
1
citations
SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
Yiyang Gu, Bohan Wu, Qinghua Ran et al.
NeurIPS 2025poster
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
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi, Yibin Wang, Ligong Han et al.
NeurIPS 2025posterarXiv:2412.05723
2
citations
Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data
Xingyu Ren, Pengwei Liu, Pengkai Wang et al.
NeurIPS 2025poster
Uncertainty Weighted Gradients for Model Calibration
Jinxu Lin, Linwei Tao, Minjing Dong et al.
CVPR 2025posterarXiv:2503.22725
3
citations
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
Guillem Capellera, Antonio Rubio, Luis Ferraz et al.
CVPR 2025posterarXiv:2503.18589
7
citations