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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
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation Tian Zeng Junwei Lan Jiahong Ma Wenqing Wei Rong Zhu Pengfei Li Bolin Ding Defu Lian Zhewei Wei Jingren Zhou 80 5 0 03 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 134 0 0 03 Jun 2024
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback Chen Chen Yuchen Hu Wen Wu Helin Wang Chng Eng Siong Chao Zhang 93 12 0 02 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability Mohit Prabhushankar Ghassan AlRegib FAtt UQCV 81 2 0 01 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 111 3 0 01 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 297 2 0 01 Jun 2024
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 251 5 0 01 Jun 2024
Uncertainty Quantification for Deep Learning Peter Jan van Leeuwen J. C. Chiu C. Yang UQCV BDL 32 0 0 31 May 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 198 2 0 31 May 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin Jannik Kossen Yarin Gal Pekka Marttinen UQCV 143 45 0 30 May 2024
Accurate and Reliable Predictions with Mutual-Transport Ensemble Han Liu Peng Cui Bingning Wang Jun Zhu Xiaolin Hu UQCV 67 0 0 30 May 2024
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction Taisei Tosaki Eiichiro Uchino Ryosuke Kojima Y. Mineharu Yuji Okamoto ... Yoshinori Tamada Tatsuya Mikami K. Murashita Shigeyuki Nakaji Yasushi Okuno OOD 44 0 0 30 May 2024
Selective Explanations Lucas Monteiro Paes Dennis L. Wei Flavio du Pin Calmon FAtt 80 0 0 29 May 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos Volkan Cevher DiffM 90 3 0 29 May 2024
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption Bernd Frauenknecht Artur Eisele Devdutt Subhasish Friedrich Solowjow Sebastian Trimpe 116 5 0 29 May 2024
Language Generation with Strictly Proper Scoring Rules Chenze Shao Fandong Meng Yijin Liu Jie Zhou 111 6 0 29 May 2024
Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation Maxine Perroni-Scharf Zachary Ferguson Thomas Butrille Carlos Portela Mina Konaković Luković 67 0 0 29 May 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 85 9 0 28 May 2024
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity Prakhar Ganesh Ihsan Ibrahim Daldaban Ignacio Cofone G. Farnadi 112 2 0 28 May 2024
Evaluating Bayesian deep learning for radio galaxy classification Devina Mohan Anna M. M. Scaife UQCV BDL 135 1 0 28 May 2024
Confidence-aware multi-modality learning for eye disease screening K. Zou Tian Lin Zongbo Han Meng Wang Xuedong Yuan Haoyu Chen Changqing Zhang Xiaojing Shen Huazhu Fu 96 4 0 28 May 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks Seonghyeon Hwang Minsu Kim Steven Euijong Whang NoLa 92 3 0 28 May 2024
MODL: Multilearner Online Deep Learning Antonios Valkanas Boris N. Oreshkin Mark Coates 125 2 0 28 May 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals Ilia Azizi M. Boldi V. Chavez-Demoulin 159 0 0 28 May 2024
Structured Partial Stochasticity in Bayesian Neural Networks Tommy Rochussen 64 0 0 27 May 2024
Salutary Labeling with Zero Human Annotation Wenxiao Xiao Hongfu Liu 45 0 0 27 May 2024
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average Louis Fournier Adel Nabli Masih Aminbeidokhti M. Pedersoli Eugene Belilovsky Edouard Oyallon MoMe FedML 95 3 0 27 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi Anton Van Den Hengel VLM 140 1 0 27 May 2024
Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 76 2 0 25 May 2024
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported Ethan Harvey Mikhail Petrov Michael C. Hughes BDL 40 2 0 24 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 116 5 0 24 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 130 6 0 23 May 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 129 3 0 23 May 2024
Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Zhuosheng Zhang Rui Wang OODD 53 1 0 22 May 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate A. Fuller Daniel G. Kyrollos Yousef Yassin James R. Green 117 3 0 22 May 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis Soumya Dutta Faheem Nizar Ahmad Amaan Ayan Acharya AAML 93 1 0 22 May 2024
Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries Adam Yang Chen Chen Konstantinos Pitas 63 12 0 22 May 2024
Just rotate it! Uncertainty estimation in closed-source models via multiple queries Konstantinos Pitas Julyan Arbel UQCV 60 0 0 22 May 2024
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting Sepehr Sharifi Andrea Stocco Lionel C. Briand AI4TS 112 1 0 21 May 2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos Jayroop Ramesh Nicola K. Dinsdale INTERGROWTH-21 Consortium P. Yeung Ana I. L. Namburete MedIm 90 4 0 21 May 2024
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques Siva Rajesh Kasa Aniket Goel Karan Gupta Sumegh Roychowdhury Anish Bhanushali Nikhil Pattisapu Prasanna Srinivasa Murthy 82 3 0 20 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 261 1 0 20 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 121 5 0 18 May 2024
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction Jay Patrikar Sushant Veer Apoorva Sharma Marco Pavone Sebastian A. Scherer 75 0 0 18 May 2024
Reinforcement learning Florentin Wörgötter 134 2,528 0 16 May 2024
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance Milda Pocevičiūtė Gabriel Eilertsen Stina Garvin Claes Lundström 84 6 0 16 May 2024
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data Maxim Ziatdinov AI4CE 85 4 0 16 May 2024
Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression Takuo Matsubara 51 1 0 15 May 2024
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 90 1 0 10 May 2024
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization Yarden As Bhavya Sukhija Andreas Krause OffRL 86 2 0 09 May 2024