Poster "epistemic uncertainty" Papers

17 papers found

Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling

Daksh Mittal, Leon Li, Thomson Yen et al.

NEURIPS 2025arXiv:2503.01215
1
citations

Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding

Yixiong Fang, Ziran Yang, Zhaorun Chen et al.

NEURIPS 2025arXiv:2412.06474
14
citations

Epistemic Uncertainty for Generated Image Detection

Jun Nie, Yonggang Zhang, Tongliang Liu et al.

NEURIPS 2025arXiv:2412.05897
1
citations

Evidential Knowledge Distillation

Liangyu Xiang, Junyu Gao, Changsheng Xu

ICCV 2025arXiv:2507.18366
1
citations

From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation

Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč et al.

ICLR 2025arXiv:2402.10727
17
citations

On Rollouts in Model-Based Reinforcement Learning

Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow et al.

ICLR 2025arXiv:2501.16918
1
citations

Rethinking Approximate Gaussian Inference in Classification

Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig

NEURIPS 2025arXiv:2502.03366
1
citations

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations

Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka et al.

ICLR 2025arXiv:2408.16115
8
citations

Variational Uncertainty Decomposition for In-Context Learning

I. Shavindra Jayasekera, Jacob Si, Filippo Valdettaro et al.

NEURIPS 2025arXiv:2509.02327
2
citations

Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation

Linye Li, Yufei Chen, Xiaodong Yue

NEURIPS 2025

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

Bairu Hou, Yujian Liu, Kaizhi Qian et al.

ICML 2024arXiv:2311.08718
101
citations

Distinguishing the Knowable from the Unknowable with Language Models

Gustaf Ahdritz, Tian Qin, Nikhil Vyas et al.

ICML 2024arXiv:2402.03563
41
citations

Epistemic Uncertainty Quantification For Pre-Trained Neural Networks

Hanjing Wang, Qiang Ji

CVPR 2024arXiv:2404.10124
7
citations

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification

Xixun Lin, Wenxiao Zhang, Fengzhao Shi et al.

ICML 2024

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift

Luca Franco, Paolo Mandica, Konstantinos Kallidromitis et al.

ICML 2024arXiv:2306.11180
15
citations

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

Mira Juergens, Nis Meinert, Viktor Bengs et al.

ICML 2024

PAGER: Accurate Failure Characterization in Deep Regression Models

Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi et al.

ICML 2024