NEURIPS "uncertainty estimation" Papers

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking

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

Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation

Jeongin Kim, Wonho Bae, YouLee Han et al.

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

Yinjie Min, Furong Xu, Xinyao Li et al.

Epistemic Uncertainty for Generated Image Detection

Jun Nie, Yonggang Zhang, Tongliang Liu et al.

Quantifying Uncertainty in the Presence of Distribution Shifts

Yuli Slavutsky, David Blei

Robust and Computation-Aware Gaussian Processes

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision

Yiyang Gu, Bohan Wu, Qinghua Ran et al.

Test Time Scaling for Neural Processes

Hyungi Lee, Moonseok Choi, Hyunsu Kim 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

Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation

Linye Li, Yufei Chen, Xiaodong Yue