2025 "uncertainty estimation" Papers

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking

Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.

Causal Discovery via Bayesian Optimization

Bao Duong, Sunil Gupta, Thin Nguyen

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification

Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar et al.

Do LLMs estimate uncertainty well in instruction-following?

Juyeon Heo, Miao Xiong, Christina Heinze-Deml et al.

DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation

Maregu Assefa, Muzammal Naseer, IYYAKUTTI IYAPPAN GANAPATHI et al.

Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection

Yinjie Min, Furong Xu, Xinyao Li et al.

Multi-domain Distribution Learning for De Novo Drug Design

Arne Schneuing, Ilia Igashov, Adrian Dobbelstein et al.

Neural Context Flows for Meta-Learning of Dynamical Systems

Roussel Desmond Nzoyem, David Barton, Tom Deakin

Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation

Sebastian Schmidt, Julius Koerner, Dominik Fuchsgruber et al.

Quantifying Uncertainty in the Presence of Distribution Shifts

Yuli Slavutsky, David Blei

Robust and Computation-Aware Gaussian Processes

SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision

Yiyang Gu, Bohan Wu, Qinghua Ran et al.

Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It

Guoxuan Xia, Olivier Laurent, Gianni Franchi et al.

Training-Free Bayesianization for Low-Rank Adapters of Large Language Models

Haizhou Shi, Yibin Wang, Ligong Han et al.

Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data

Xingyu Ren, Pengwei Liu, Pengkai Wang et al.

Uncertainty-Sensitive Privileged Learning

Fan-Ming Luo, Lei Yuan, Yang Yu

Uncertainty Weighted Gradients for Model Calibration

Jinxu Lin, Linwei Tao, Minjing Dong et al.

Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling

Guillem Capellera, Antonio Rubio, Luis Ferraz et al.