Title
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
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 137 0 0 03 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
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data Grigor Bezirganyan Sana Sellami Laure Berti-Équille Sébastien Fournier 37 3 0 14 Jun 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 53 6 0 12 Apr 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 46 4 0 07 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi Michael Kirchhof Seong Joon Oh UQCV BDL OODD 431 20 1 29 Feb 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 21 0 0 29 Feb 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks Tim Whitaker Darrell Whitley 33 0 0 16 Jan 2024
Function-Space Regularization in Neural Networks: A Probabilistic Perspective Tim G. J. Rudner Sanyam Kapoor Shikai Qiu A. Wilson 37 12 0 28 Dec 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 26 1 0 10 Oct 2023
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels Ke Wang Guillermo Ortiz-Jimenez Rodolphe Jenatton Mark Collier Efi Kokiopoulou Pascal Frossard AAML 37 2 0 10 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 24 0 0 02 Oct 2023
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction M. Shakya Bishesh Khanal 27 1 0 24 Sep 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Comparing the quality of neural network uncertainty estimates for classification problems Daniel Ries Joshua J. Michalenko T. Ganter R. Baiyasi Jason Adams UQCV BDL 29 1 0 11 Aug 2023
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks Sadhana Lolla I. Elistratov Alejandro Perez Elaheh Ahmadi Daniela Rus Alexander Amini UQCV 22 0 0 01 Aug 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks Dominik Schnaus Jongseok Lee Daniel Cremers Rudolph Triebel UQCV BDL 38 1 0 15 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 374 13 0 07 Jul 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann P. Becker Michael Volpp Gerhard Neumann UQCV 21 14 0 21 Jun 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 32 9 0 14 Jun 2023
Measuring and Mitigating Local Instability in Deep Neural Networks Arghya Datta Subhrangshu Nandi Jingcheng Xu Greg Ver Steeg He Xie Anoop Kumar Aram Galstyan 20 3 0 18 May 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study Polina Zablotskaia Du Phan Joshua Maynez Shashi Narayan Jie Jessie Ren J. Liu UQLM UQCV 25 18 0 17 Apr 2023
When does Privileged Information Explain Away Label Noise? Guillermo Ortiz-Jiménez Mark Collier Anant Nawalgaria Alexander DÁmour Jesse Berent Rodolphe Jenatton E. Kokiopoulou NoLa 167 7 0 03 Mar 2023
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 35 24 0 23 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 23 6 0 13 Feb 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models J. Allingham Jie Jessie Ren Michael W. Dusenberry Xiuye Gu Huayu Chen Dustin Tran J. Liu Balaji Lakshminarayanan LLMAG VLM 35 33 0 13 Feb 2023
Fortuna: A Library for Uncertainty Quantification in Deep Learning Gianluca Detommaso Alberto Gasparin Michele Donini Matthias Seeger A. Wilson Cédric Archambeau UQCV BDL 36 14 0 08 Feb 2023
Massively Scaling Heteroscedastic Classifiers Mark Collier Rodolphe Jenatton Basil Mustafa N. Houlsby Jesse Berent E. Kokiopoulou 26 8 0 30 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 19 4 0 14 Jan 2023
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? Wenbo Shao Yan Xu Jun Yu Li Chen Lv Weida Wang Hong Wang 29 9 0 11 Jan 2023
Benchmark for Uncertainty & Robustness in Self-Supervised Learning H. Bui Iliana Maifeld-Carucci OOD 19 1 0 23 Dec 2022
Task Bias in Vision-Language Models Sachit Menon I. Chandratreya Carl Vondrick VLM SSL 22 6 0 08 Dec 2022
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS Gary Tom Riley J. Hickman Aniket N. Zinzuwadia A. Mohajeri Benjamín Sánchez-Lengeling A. Aspuru‐Guzik 21 16 0 03 Dec 2022
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity Yuki Hirayama Sinya Takamaeda-Yamazaki BDL 24 0 0 24 Nov 2022
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Neil Band Tim G. J. Rudner Qixuan Feng Angelos Filos Zachary Nado Michael W. Dusenberry Ghassen Jerfel Dustin Tran Y. Gal OOD UQCV BDL 29 50 0 23 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 78 2 0 18 Nov 2022
Do Bayesian Neural Networks Need To Be Fully Stochastic? Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 23 52 0 11 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 28 5 0 04 Nov 2022
GFlowOut: Dropout with Generative Flow Networks Dianbo Liu Moksh Jain Bonaventure F. P. Dossou Qianli Shen Salem Lahlou ... Dinghuai Zhang N. Hassen Xu Ji Kenji Kawaguchi Yoshua Bengio UQCV BDL OOD 33 20 0 24 Oct 2022
Window-Based Distribution Shift Detection for Deep Neural Networks Guy Bar-Shalom Yonatan Geifman Ran El-Yaniv 20 3 0 19 Oct 2022
Ambiguous Images With Human Judgments for Robust Visual Event Classification Kate Sanders Reno Kriz Anqi Liu Benjamin Van Durme 65 12 0 06 Oct 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu 25 86 0 27 Aug 2022
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry M. Penrod Harrison Termotto Varshini Reddy Jiayu Yao Finale Doshi-Velez Weiwei Pan AAML OOD 40 1 0 02 Aug 2022
Towards Clear Expectations for Uncertainty Estimation Victor Bouvier Simona Maggio A. Abraham L. Dreyfus-Schmidt UQCV 28 1 0 27 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 39 124 0 15 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering Jayaraman J. Thiagarajan Rushil Anirudh V. Narayanaswamy P. Bremer UQCV OOD 27 26 0 14 Jul 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 43 34 0 13 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark J. F. Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 30 28 0 30 Jun 2022
Ensembling over Classifiers: a Bias-Variance Perspective Neha Gupta Jamie Smith Ben Adlam Zelda E. Mariet FedML UQCV FaML 13 6 0 21 Jun 2022