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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016

Balaji Lakshminarayanan

Alexander Pritzel

Papers citing "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"

50 / 3,224 papers shown

Title
Providing Safety Assurances for Systems with Unknown Dynamics Hao Wang Javier Borquez Somil Bansal 65 3 0 09 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 195 4 0 07 Mar 2024
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification Ekaterina Fadeeva Aleksandr Rubashevskii Artem Shelmanov Sergey Petrakov Haonan Li ... Gleb Kuzmin Alexander Panchenko Timothy Baldwin Preslav Nakov Maxim Panov HILM 102 56 0 07 Mar 2024
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations Abhishek Anand Negar Mokhberian Prathyusha Naresh Kumar Anweasha Saha Zihao He Ashwin Rao Fred Morstatter Kristina Lerman 84 7 0 06 Mar 2024
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing Kiran Madhusudhanan Gunnar Behrens Maximilian Stubbemann Lars Schmidt-Thieme 59 0 0 06 Mar 2024
Emergent Equivariance in Deep Ensembles Jan E. Gerken Pan Kessel UQCV MDE 98 8 0 05 Mar 2024
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model Haneol Kang Dong-Wan Choi CLL BDL 58 2 0 05 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 103 12 0 05 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 92 5 0 04 Mar 2024
Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison Wenbo Shao Jiahui Xu Zhong Cao Hong Wang Jun Li 75 5 0 04 Mar 2024
A prediction rigidity formalism for low-cost uncertainties in trained neural networks Filippo Bigi Sanggyu Chong Michele Ceriotti Federico Grasselli 75 6 0 04 Mar 2024
Can a Confident Prior Replace a Cold Posterior? Martin Marek Brooks Paige Pavel Izmailov UQCV BDL 76 4 0 02 Mar 2024
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access Jiayuan Su Jing Luo Hongwei Wang Lu Cheng 247 23 0 02 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi Michael Kirchhof Seong Joon Oh UQCV BDL OODD 587 32 1 29 Feb 2024
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging Jennie Karlsson Marisa Wodrich Niels Christian Overgaard Freja Sahlin Kristina Laang Anders Heyden Ida Arvidsson 54 0 0 29 Feb 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 110 0 0 29 Feb 2024
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data David S. W. Williams Daniele De Martini Matthew Gadd Paul Newman UQCV 92 5 0 27 Feb 2024
Variational Learning is Effective for Large Deep Networks Yuesong Shen Nico Daheim Bai Cong Peter Nickl Gian Maria Marconi ... Rio Yokota Iryna Gurevych Daniel Cremers Mohammad Emtiyaz Khan Thomas Möllenhoff 93 31 0 27 Feb 2024
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling David S. W. Williams Matthew Gadd Paul Newman Daniele De Martini UQCV 39 1 0 27 Feb 2024
TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics Kevin Tirta Wijaya Navid Ansari Hans-Peter Seidel Vahid Babaei 65 0 0 26 Feb 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 93 1 0 26 Feb 2024
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation Pau de Jorge Riccardo Volpi P. Dokania Philip Torr Grégory Rogez DiffM 118 5 0 26 Feb 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models Jinqian Chen Jihua Zhu Qinghai Zheng Zhongyu Li Zhiqiang Tian FedML 100 3 0 26 Feb 2024
Reliable Conflictive Multi-View Learning Cai Xu Jiajun Si Ziyu Guan Wei Zhao Yue Wu Xiyue Gao 93 58 0 24 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 118 15 0 23 Feb 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond Zhiyuan Wang Jinhao Duan Chenxi Yuan Qingyu Chen Tianlong Chen Huaxiu Yao Yue Zhang Ren Wang Kaidi Xu Xiaoshuang Shi UQLM 183 13 0 22 Feb 2024
Generative Adversarial Models for Extreme Downscaling of Climate Datasets Guiye Li Guofeng Cao AI4CE 73 0 0 21 Feb 2024
Calibrating Large Language Models with Sample Consistency Qing Lyu Kumar Shridhar Chaitanya Malaviya Li Zhang Yanai Elazar Niket Tandon Marianna Apidianaki Mrinmaya Sachan Chris Callison-Burch 103 29 0 21 Feb 2024
Investigating the Histogram Loss in Regression Ehsan Imani Kai Luedemann Sam Scholnick-Hughes Esraa Elelimy Martha White UQCV 72 6 0 20 Feb 2024
Bayesian Neural Networks with Domain Knowledge Priors Dylan Sam Rattana Pukdee Daniel P. Jeong Yewon Byun J. Zico Kolter BDL UQCV 98 10 0 20 Feb 2024
A Recurrent Neural Network Enhanced Unscented Kalman Filter for Human Motion Prediction Wansong Liu Sibo Tian Boyi Hu Xiao Liang Minghui Zheng 87 1 0 20 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism Hippolyte Gisserot-Boukhlef Manuel Faysse Emmanuel Malherbe C´eline Hudelot Pierre Colombo 186 4 0 20 Feb 2024
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation Wen Wu Yue Liu Chuxu Zhang Chung-Cheng Chiu Qiujia Li Junwen Bai Tara N. Sainath P. Woodland 72 3 0 20 Feb 2024
Thermometer: Towards Universal Calibration for Large Language Models Maohao Shen Subhro Das Kristjan Greenewald P. Sattigeri Greg Wornell Soumya Ghosh 104 11 0 20 Feb 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning Anya Sims Cong Lu Yee Whye Teh OffRL 98 4 0 19 Feb 2024
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking Chang Won Lee Steven L. Waslander VOT 93 2 0 19 Feb 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts Emanuele Marconato Samuele Bortolotti Emile van Krieken Antonio Vergari Andrea Passerini Stefano Teso 135 22 0 19 Feb 2024
Bayesian Active Learning for Censored Regression F. B. Hüttel Christoffer Riis Filipe Rodrigues Francisco Câmara Pereira 94 1 0 19 Feb 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs Yavuz Faruk Bakman D. Yaldiz Baturalp Buyukates Chenyang Tao Dimitrios Dimitriadis A. Avestimehr 109 25 0 19 Feb 2024
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning Yang Ni Zhuowen Zou Wenjun Huang Hanning Chen William Youngwoo Chung Samuel Cho R. Krishnan Pietro Mercati Mohsen Imani 81 3 0 17 Feb 2024
Uncertainty-guided annotation enhances segmentation with the human-in-the-loop Nadieh Khalili Joey Spronck F. Ciompi Jeroen van der Laak G. Litjens 57 2 0 16 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 115 3 0 16 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation S. Landgraf Markus Hillemann Theodor Kapler Markus Ulrich UQCV 70 9 0 16 Feb 2024
Soft Dice Confidence: A Near-Optimal Confidence Estimator for Selective Prediction in Semantic Segmentation Bruno Laboissiere Camargos Borges Bruno Machado Pacheco Danilo Silva 41 0 0 16 Feb 2024
How Flawed Is ECE? An Analysis via Logit Smoothing Muthu Chidambaram Holden Lee Colin McSwiggen Semon Rezchikov UQCV 62 3 0 15 Feb 2024
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers Hong Jia Young D. Kwon Dong Ma Nhat Pham Lorena Qendro Tam N. Vu Cecilia Mascolo 75 2 0 14 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 57 4 0 13 Feb 2024
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution Tailin Wu Willie Neiswanger Hongtao Zheng Stefano Ermon J. Leskovec AI4CE 94 3 0 13 Feb 2024
Uncertainty Quantification via Stable Distribution Propagation Felix Petersen Aashwin Mishra Hilde Kuehne Christian Borgelt Oliver Deussen Mikhail Yurochkin UQCV 75 6 0 13 Feb 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints Yunsheng Tian Ane Zuniga Xinwei Zhang Johannes P. Dürholt Payel Das Jie Chen Wojciech Matusik Mina Konakovic-Lukovic 99 2 0 12 Feb 2024