Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

17 June 2020

Balaji Lakshminarayanan

UQCV

BDL

ArXiv PDF HTML

Papers citing "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness"

50 / 295 papers shown

Title
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models Aishwarya Venkataramanan P. Bodesheim Joachim Denzler BDL VLM 64 0 0 08 May 2025
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 56 0 0 08 May 2025
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems Xizhuo Zhang AI4CE 29 0 0 26 Apr 2025
ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding Santosh Rajagopalan Jonathan Vronsky Songbai Yan S. Alireza Golestaneh Shubhra Chandra Min Zhou 66 0 0 26 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 25 0 0 18 Apr 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 40 0 0 17 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation Sebastian Schmidt Julius Körner Dominik Fuchsgruber Stefano Gasperini F. Tombari Stephan Günnemann 26 0 0 07 Apr 2025
Outlook Towards Deployable Continual Learning for Particle Accelerators Kishansingh Rajput Sen Lin Auralee Edelen Willem Blokland Malachi Schram 28 0 0 04 Apr 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 67 2 0 21 Mar 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction Severin Heidrich Till Beemelmanns Alexey Nekrasov Bastian Leibe Lutz Eckstein 52 0 0 13 Mar 2025
LiDAR-enhanced 3D Gaussian Splatting Mapping Jian Shen Huai Yu Ji Wu Wen Yang Gui-Song Xia 3DGS 50 0 0 07 Mar 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation Long Minh Bui Tho Tran Huu Duy-Tung Dinh T. Nguyen Trong Nghia Hoang 52 2 0 27 Feb 2025
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk Tianyu Zhao Mahmoud Srewa Salma Elmalaki 95 1 0 25 Feb 2025
Learning Hyperparameters via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 65 0 0 03 Feb 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 92 12 0 28 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 116 6 0 28 Jan 2025
On the challenges of detecting MCI using EEG in the wild Aayush Mishra David Joffe Sankara Surendra Telidevara David S Oakley Anqi Liu 46 0 0 15 Jan 2025
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation S. Landgraf Rongjun Qin Markus Ulrich UQCV 75 0 0 14 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection Amol Khanna Chenyi Ling Derek Everett Edward Raff Nathan Inkawhich OODD 33 0 0 05 Jan 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 42 0 0 03 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac Steven Goldenberg Kawser Ahammed A. Carpenter Jiang Li Riad Suleiman C. Tennant AI4CE 25 0 0 11 Nov 2024
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous Qinxun Bai Fuxin Li BDL 31 0 0 31 Oct 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 72 1 0 30 Oct 2024
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice Hsiu-Yuan Huang Yutong Yang Zhaoxi Zhang Sanwoo Lee Yunfang Wu 39 9 0 20 Oct 2024
Normalizing self-supervised learning for provably reliable Change Point Detection Alexandra Bazarova Evgenia Romanenkova Alexey Zaytsev 24 1 0 17 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 47 2 0 14 Oct 2024
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation Hanieh Shojaei Qianqian Zou Max Mehltretter UQCV 23 0 0 11 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks Hao Xing Darius Burschka 31 1 0 10 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 28 7 0 06 Oct 2024
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 29 0 0 04 Oct 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 42 0 0 04 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 54 1 0 01 Oct 2024
End-to-End Conformal Calibration for Optimization Under Uncertainty Christopher Yeh Nicolas H. Christianson Alan Wu Adam Wierman Yisong Yue 28 3 0 30 Sep 2024
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation Taha Koleilat Hojat Asgariandehkordi H. Rivaz Yiming Xiao MedIm VLM 43 6 0 28 Sep 2024
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation Maying Shen Nadine Chang Sifei Liu Jose M. Alvarez 36 0 0 20 Sep 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning Taeseong Yoon Heeyoung Kim EDL UQCV 39 1 0 13 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 42 5 0 07 Sep 2024
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning Zhengqing Gao Xiang Ao Xu-Yao Zhang Cheng-Lin Liu VLM VPVLM 36 0 0 29 Aug 2024
Gaussian Mixture based Evidential Learning for Stereo Matching Weide Liu Xingxing Wang Lu Wang Jun Cheng Fayao Liu Xulei Yang 26 0 0 05 Aug 2024
Know Your Limits: A Survey of Abstention in Large Language Models Bingbing Wen Jihan Yao Shangbin Feng Chenjun Xu Yulia Tsvetkov Bill Howe Lucy Lu Wang 59 11 0 25 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features Romeo Valentin Sydney M. Katz Joonghyun Lee Don Walker Matthew Sorgenfrei Mykel J. Kochenderfer 36 0 0 23 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 19 1 0 15 Jul 2024
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method Hilarie Sit Brendan Keith Karianne Bergen 32 0 0 02 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 60 0 0 02 Jul 2024
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Oliver Schrufer M. Milling Felix Burkhardt F. Eyben Björn Schuller 27 3 0 01 Jul 2024
A Rate-Distortion View of Uncertainty Quantification Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski UQCV 46 2 0 16 Jun 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models A. Altieri Marco Romanelli Georg Pichler F. Alberge Pablo Piantanida 49 0 0 11 Jun 2024
Effective Data Selection for Seismic Interpretation through Disagreement Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 37 2 0 01 Jun 2024