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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
An Empirical Study Into What Matters for Calibrating Vision-Language Models Weijie Tu Weijian Deng Dylan Campbell Stephen Gould Tom Gedeon VLM 90 8 0 12 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 78 35 0 12 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 147 8 0 12 Feb 2024
Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendations Muhammad Bilal Shahid Cody H. Fleming 13 0 0 11 Feb 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts Masoumeh Javanbakhat Md Tasnimul Hasan Cristoph Lippert UQCV OOD 57 1 0 10 Feb 2024
SAE: Single Architecture Ensemble Neural Networks Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues UQCV 60 0 0 09 Feb 2024
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions A. Testoni Raquel Fernández 64 11 0 09 Feb 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data Felix Ott Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Jonathan Hansen A. Rügamer Christopher Mutschler 85 9 0 09 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 152 0 0 09 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen J. Jon Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 80 3 0 09 Feb 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning Idan Achituve I. Diamant Arnon Netzer Gal Chechik Ethan Fetaya UQCV 92 7 0 06 Feb 2024
Enhanced sampling of robust molecular datasets with uncertainty-based collective variables Aik Rui Tan Johannes C. B. Dietschreit Rafael Gómez-Bombarelli 79 2 0 06 Feb 2024
Empowering Language Models with Active Inquiry for Deeper Understanding Jing-Cheng Pang Heng-Bo Fan Pengyuan Wang Jia-Hao Xiao Nan Tang Si-Hang Yang Chengxing Jia Sheng-Jun Huang Yang Yu 46 6 0 06 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 147 1 0 06 Feb 2024
Distinguishing the Knowable from the Unknowable with Language Models Gustaf Ahdritz Tian Qin Nikhil Vyas Boaz Barak Benjamin L. Edelman 103 27 0 05 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 87 29 0 05 Feb 2024
How Good is a Single Basin? Kai Lion Lorenzo Noci Thomas Hofmann Gregor Bachmann UQCV 56 3 0 05 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning Abdelhakim Benechehab Albert Thomas Balázs Kégl OffRL 74 2 0 05 Feb 2024
eXplainable Bayesian Multi-Perspective Generative Retrieval EuiYul Song Philhoon Oh Sangryul Kim James Thorne BDL 63 0 0 04 Feb 2024
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction Ziqi Ma Kamyar Azizzadenesheli A. Anandkumar 88 8 0 02 Feb 2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes Yingyi Chen Qinghua Tao F. Tonin Johan A. K. Suykens 63 1 0 02 Feb 2024
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields Joshua A. Vita Amit Samanta Fei Zhou Vincenzo Lordi 76 3 0 01 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 150 35 0 01 Feb 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 82 3 0 30 Jan 2024
Multiple Yield Curve Modeling and Forecasting using Deep Learning Ronald Richman Salvatore Scognamiglio 91 0 0 30 Jan 2024
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble Shun Zhang Zhenfang Chen Sunli Chen Yikang Shen Zhiqing Sun Chuang Gan 82 27 0 30 Jan 2024
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment Shibbir Ahmed Hongyang Gao Hridesh Rajan 88 2 0 26 Jan 2024
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization Adnan Khan Mai A. Shaaban Muhammad Haris Khan 120 5 0 25 Jan 2024
Conformal Prediction Sets Improve Human Decision Making Jesse C. Cresswell Yi Sui Bhargava Kumar Noël Vouitsis 188 19 0 24 Jan 2024
Inadequacy of common stochastic neural networks for reliable clinical decision support Adrian Lindenmeyer Malte Blattmann S. Franke Thomas Neumuth Daniel Schneider BDL 95 1 0 24 Jan 2024
Full Bayesian Significance Testing for Neural Networks Zehua Liu Zimeng Li Jingyuan Wang Yue He BDL 69 4 0 24 Jan 2024
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification Hyun-Suk Lee Do-Yup Kim Kyungsik Min 77 0 0 24 Jan 2024
Bayesian Semi-structured Subspace Inference Daniel Dold David Rügamer Beate Sick Oliver Durr BDL 65 1 0 23 Jan 2024
WARM: On the Benefits of Weight Averaged Reward Models Alexandre Ramé Nino Vieillard Léonard Hussenot Robert Dadashi Geoffrey Cideron Olivier Bachem Johan Ferret 194 104 0 22 Jan 2024
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting Eloy Reulen S. Mehrkanoon 74 5 0 18 Jan 2024
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification Wei Tan Ngoc Dang Nguyen Lan Du Wray Buntine 72 2 0 15 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 89 3 0 14 Jan 2024
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements Anton Voronov Lena Wolf Max Ryabinin 80 52 0 12 Jan 2024
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study Yufei Li Simin Chen Yanghong Guo Wei Yang Yue Dong Cong Liu UQCV 63 2 0 12 Jan 2024
Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materials Janosh Riebesell T. W. Surta Rhys E. A. Goodall Michael Gaultois Alpha A Lee 54 4 0 11 Jan 2024
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making Shiye Cao Anqi Liu Chien-Ming Huang 66 12 0 11 Jan 2024
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection Prakash Mallick Feras Dayoub Jamie Sherrah 45 1 0 10 Jan 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics Beiwen Tian Huan-ang Gao Leiyao Cui Yupeng Zheng Lan Luo Baofeng Wang Rong Zhi Guyue Zhou Hao Zhao 89 5 0 10 Jan 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection Sicong Huang Jiawei He Kry Yik-Chau Lui 74 0 0 10 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang 64 0 0 09 Jan 2024
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction Yi-Hsuan Li Philippe Zhang Yubo Tan Jing Zhang Zhihan Wang Weili Jiang Pierre-Henri Conze M. Lamard G. Quellec Mostafa EL HABIB DAHO 91 3 0 08 Jan 2024
Uncertainty Quantification on Clinical Trial Outcome Prediction Tianyi Chen Yingzhou Lu Nan Hao Capucine Van Rechem Jintai Chen Tianfan Fu 127 23 0 07 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan UQCV 109 5 0 07 Jan 2024
Uncertainty Regularized Evidential Regression Kai Ye Tiejin Chen Hua Wei Liang Zhan UQCV EDL 71 7 0 03 Jan 2024
Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint Soyed Tuhin Ahmed M. Tahoori 67 1 0 02 Jan 2024