NEURIPS Poster "uncertainty estimation" Papers
11 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
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han et al.
NEURIPS 2025posterarXiv:2510.22229
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
Yinjie Min, Furong Xu, Xinyao Li et al.
NEURIPS 2025poster
Epistemic Uncertainty for Generated Image Detection
Jun Nie, Yonggang Zhang, Tongliang Liu et al.
NEURIPS 2025posterarXiv:2412.05897
1
citations
Quantifying Uncertainty in the Presence of Distribution Shifts
Yuli Slavutsky, David Blei
NEURIPS 2025posterarXiv:2506.18283
1
citations
Robust Sampling for Active Statistical Inference
Puheng Li, Tijana Zrnic, Emmanuel Candes
NEURIPS 2025posterarXiv:2511.08991
SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
Yiyang Gu, Bohan Wu, Qinghua Ran et al.
NEURIPS 2025poster
Test Time Scaling for Neural Processes
Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.
NEURIPS 2025poster
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
Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation
Linye Li, Yufei Chen, Xiaodong Yue
NEURIPS 2025poster