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Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

International Conference on Learning Representations (ICLR), 2018

12 March 2018

Yeming Wen

Paul Vicol

Jimmy Ba

Papers citing "Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches"

50 / 174 papers shown

Title
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Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks Juan Alejandro Pinto Castro Héctor J. Hortúa J. E. García-Farieta Roger Anderson Hurtado 132 0 0 23 Oct 2025
Enhancing Safety in Diabetic Retinopathy Detection: Uncertainty-Aware Deep Learning Models with Rejection Capabilities Madhushan Ramalingam Yaish Riaz Priyanthi Rajamanoharan Piyumi Dasanayaka 80 0 0 26 Sep 2025
Is Uncertainty Quantification a Viable Alternative to Learned Deferral? Anna M. Wundram Christian F. Baumgartner 161 0 0 04 Aug 2025
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Improving LoRA with Variational Learning Bai Cong Nico Daheim Yuesong Shen Rio Yokota Mohammad Emtiyaz Khan Thomas Möllenhoff 216 1 0 17 Jun 2025
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging Felix Wagner Pramit Saha Harry Anthony J. A. Noble Konstantinos Kamnitsas OOD 377 0 0 10 Jun 2025
Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise InjectionInternational Conference on Neural Information Processing (ICONIP), 2025 Shunsuke Sakai Shunsuke Tsuge Tatsuhito Hasegawa 118 0 0 08 Apr 2025
Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty Michal Tešnar Bilal Wehbe Matias Valdenegro-Toro 156 0 0 06 Apr 2025
STAR: Stability-Inducing Weight Perturbation for Continual LearningInternational Conference on Learning Representations (ICLR), 2025 Masih Eskandar Tooba Imtiaz Davin Hill Zifeng Wang Jennifer Dy CLL 187 4 0 03 Mar 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural NetworksInternational Conference on Learning Representations (ICLR), 2024 Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 239 1 0 17 Feb 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification TasksNeural Networks (NN), 2024 Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 570 22 0 28 Jan 2025
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Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 934 0 0 14 Jan 2025
An AI-powered Bayesian generative modeling approach for causal inference in observational studies Qiao Liu W. Wong CML 256 1 0 01 Jan 2025
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationMachine Learning for Biomedical Imaging (MLBI), 2024 P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 285 1 0 05 Sep 2024
Measuring Uncertainty Disentanglement Error in Classification Ivo Pascal de Jong A. Sburlea Matthia Sabatelli Matias Valdenegro-Toro UQCV UD PER 371 4 0 22 Aug 2024
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data Mariela De Lucas Álvarez Jichen Guo Raul Domínguez Matias Valdenegro-Toro 71 2 0 03 Jul 2024
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation Matias Valdenegro-Toro Ivo Pascal de Jong Marco Zullich UD 184 3 0 26 Jun 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 273 3 0 27 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 347 4 0 25 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in ClassificationInternational Conference on Learning Representations (ICLR), 2024 Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 307 6 0 23 May 2024
Trajectory Volatility for Out-of-Distribution Detection in Mathematical ReasoningNeural Information Processing Systems (NeurIPS), 2024 Yiming Wang Pei Zhang Baosong Yang Yang Li Zhuosheng Zhang Rui Wang OODD 207 1 0 22 May 2024
Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring Filippo Fiocchi Domna Ladopoulou P. Dellaportas 215 2 0 25 Apr 2024
Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network Yunyi Zhao Zhang Wei Qingyu Yan Man-Fai Ng B. Sivaneasan Cheng Xiang 140 5 0 20 Apr 2024
Sanity Checks for Explanation Uncertainty Matias Valdenegro-Toro Mihir Mulye FAtt 165 0 0 25 Mar 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 355 1 0 25 Mar 2024
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian ModelsIEEE Access (IEEE Access), 2024 John Fischer Marko Orescanin Justin Loomis Patrick McClure FedML 176 5 0 22 Mar 2024
Uncertainty Quantification for cross-subject Motor Imagery classification Prithviraj Manivannan Ivo Pascal de Jong Matias Valdenegro-Toro A. Sburlea UQCV 174 3 0 14 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution ShiftsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 H. Bui Anqi Liu OOD BDL UQCV 311 5 0 07 Mar 2024
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation Gang Liu Hongyang Li Zerui He Shenjun Zhong MedIm 75 2 0 05 Mar 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 265 43 0 27 Feb 2024
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent Luca Della Libera Jacopo Andreoli Davide Dalle Pezze Mirco Ravanelli Gian Antonio Susto BDL 199 1 0 02 Feb 2024
Forecasting VIX using Bayesian Deep Learning Héctor J. Hortúa Andrés Mora-Valencia BDL OOD 247 8 0 30 Jan 2024
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionIEEE Access (IEEE Access), 2024 John Fischer Marko Orescanin Eric Eckstrand UQCV BDL 256 6 0 10 Jan 2024
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes Boshi Tang Zhiyong Wu Xixin Wu Qiaochu Huang Jun Chen Shunwei Lei Helen M. Meng 189 13 0 19 Dec 2023
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic ModelsAIAA Journal (AIAA J.), 2023 Qiang Liu Nils Thuerey DiffM AI4CE 255 31 0 08 Dec 2023
Bootstrap Your Own Variance Polina Turishcheva Jason Ramapuram Sinead Williamson Dan Busbridge Eeshan Gunesh Dhekane Russ Webb UQCV 191 1 0 06 Dec 2023
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equationsInternational Journal for Uncertainty Quantification (IJUQ), 2023 Lorenc Kapllani Long Teng Matthias Rottmann 200 1 0 05 Oct 2023
Uncertainty Quantification in Inverse Models in Hydrology Somya Sharma Chatterjee Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber Christopher J. Duffy Vipin Kumar 218 0 0 03 Oct 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty QuantificationJournal of Reliable Intelligent Environments (JRIE), 2023 Jacopo Talpini Fabio Sartori Marco Savi 249 11 0 05 Sep 2023
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks Xinyu Bai Wenjia Bai UQCV 115 0 0 16 Aug 2023
Adversarial Bayesian Augmentation for Single-Source Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023 Sheng Cheng Tejas Gokhale Yezhou Yang OOD 250 26 0 18 Jul 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation Dapeng Hu Jian Liang Xinchao Wang Chuan-Sheng Foo 125 0 0 14 Jul 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution ShiftNeural Information Processing Systems (NeurIPS), 2023 Florian Seligmann P. Becker Michael Volpp Gerhard Neumann UQCV 330 23 0 21 Jun 2023
Attack Named Entity Recognition by Entity Boundary InterferenceInternational Conference on Language Resources and Evaluation (LREC), 2023 Yifei Yang Hongqiu Wu Hai Zhao AAML 200 5 0 09 May 2023
Toward Adversarial Training on Contextualized Language RepresentationInternational Conference on Learning Representations (ICLR), 2023 Hongqiu Wu Wenshu Fan Han Shi Haizhen Zhao Hao Fei AAML 146 15 0 08 May 2023
Incorporating Unlabelled Data into Bayesian Neural Networks Mrinank Sharma Tom Rainforth Yee Whye Teh Vincent Fortuin SSL UQCV BDL 287 10 0 04 Apr 2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift Yu-Hui Zou Weijian Deng Liang Zheng OODD 106 2 0 09 Mar 2023