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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
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsInternational Conference on Machine Learning (ICML), 2023 H. Bui Anqi Liu OOD UQCV 566 9 0 13 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware CalibrationInternational Conference on Machine Learning (ICML), 2023 Christian Tomani Futa Waseda Yuesong Shen Zorah Lähner UQCV 202 12 0 10 Feb 2023
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2023 Luis Basora Arthur Viens M. A. Chao X. Olive UQCV BDL OOD 196 33 0 09 Feb 2023
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural NetworksFrontiers in Astronomy and Space Sciences (Front. Astron. Space Sci.), 2023 Héctor J. Hortúa L. '. García Leonardo Castañeda C. BDL 142 6 0 09 Jan 2023
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 497 16 0 03 Jan 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage GuidelinesSoftware testing, verification & reliability (STVR), 2022 Michael Weiss Paolo Tonella BDL UQCV 166 13 0 14 Dec 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022 Kunlan Xiang Xing Zhang Jinwen She Jinpeng Liu Haohan Wang Shiqi Deng Shancheng Jiang OOD MedIm 199 7 0 30 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 140 64 0 23 Nov 2022
Hierarchically Structured Task-Agnostic Continual LearningMachine-mediated learning (ML), 2022 Heinke Hihn Daniel A. Braun BDL CLL 169 14 0 14 Nov 2022
Do Bayesian Neural Networks Need To Be Fully Stochastic?International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 251 70 0 11 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 150 1 0 11 Nov 2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Lokesh Veeramacheneni Matias Valdenegro-Toro 3DPC UQCV 151 2 0 11 Nov 2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression Levente Foldesi Matias Valdenegro-Toro UQCV 128 5 0 11 Nov 2022
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networksStructural Health Monitoring (SHM), 2022 Nandar Hlaing P. G. Morato F. D. Santos W. Weijtjens C. Devriendt P. Rigo 185 14 0 31 Oct 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep LearningNeural Information Processing Systems (NeurIPS), 2022 Zhijie Deng Feng Zhou Jun Zhu BDL 181 22 0 23 Oct 2022
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty Ethan Ancell Christopher Bennett B. Debusschere S. Agarwal Park Hays T. Xiao BDL UQCV UD PER 170 1 0 18 Oct 2022
Deep Combinatorial AggregationNeural Information Processing Systems (NeurIPS), 2022 Yuesong Shen Zorah Lähner OOD UQCV 125 6 0 12 Oct 2022
What Makes Graph Neural Networks Miscalibrated?Neural Information Processing Systems (NeurIPS), 2022 Hans Hao-Hsun Hsu Yuesong Shen Christian Tomani Zorah Lähner 252 46 0 12 Oct 2022
Probabilistic Inverse Modeling: An Application in HydrologySDM (SDM), 2022 Somya Sharma Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber C. Duffy Vipin Kumar AI4CE 151 1 0 12 Oct 2022
Scaling Forward Gradient With Local LossesInternational Conference on Learning Representations (ICLR), 2022 Mengye Ren Simon Kornblith Renjie Liao Geoffrey E. Hinton 432 69 0 07 Oct 2022
Variational Autoencoder Kernel Interpretation and Selection for Classification Fábio Mendonça S. Mostafa F. M. Dias A. Ravelo-García DRL 114 0 0 10 Sep 2022
ProBoost: a Boosting Method for Probabilistic ClassifiersIEEE Access (IEEE Access), 2022 Fábio Mendonça S. Mostafa F. Morgado‐Dias A. Ravelo-García Mário A. T. Figueiredo UQCV 74 0 0 04 Sep 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 193 8 0 28 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 180 35 0 30 Jun 2022
Image-based Treatment Effect HeterogeneityCLEaR (CLEaR), 2022 Connor Jerzak Fredrik D. Johansson Adel Daoud 444 30 0 13 Jun 2022
Feature Space Particle Inference for Neural Network EnsemblesInternational Conference on Machine Learning (ICML), 2022 Shingo Yashima Teppei Suzuki Kohta Ishikawa Ikuro Sato Rei Kawakami BDL 229 12 0 02 Jun 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Agustinus Kristiadi Runa Eschenhagen Philipp Hennig BDL 210 15 0 20 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 146 3 0 02 May 2022
Joint Learning of Reward Machines and Policies in Environments with Partially Known SemanticsArtificial Intelligence (AIJ), 2022 Christos K. Verginis Cevahir Köprülü Sandeep Chinchali Ufuk Topcu 208 13 0 20 Apr 2022
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement Matias Valdenegro-Toro Daniel Saromo UD PER BDL UQCV 197 121 0 20 Apr 2022
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Chao-Han Huck Yang Zeeshan Ahmed Yile Gu Joseph Szurley Roger Ren Linda Liu A. Stolcke I. Bulyko AAML 174 4 0 17 Feb 2022
A heteroencoder architecture for prediction of failure locations in porous metals using variational inferenceComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 Wyatt Bridgman Xiaoxuan Zhang G. Teichert M. Khalil K. Garikipati Reese E. Jones UQCV AI4CE 206 6 0 31 Jan 2022
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors Joseph Gesnouin Steve Pechberti B. Stanciulescu Fabien Moutarde 120 15 0 29 Jan 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks Shaun Li AI4CE 226 1 0 03 Jan 2022
Constraining cosmological parameters from N-body simulations with Bayesian Neural Networks Héctor J. Hortúa BDL 114 2 0 22 Dec 2021
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling Thabang Mathonsi Terence L van Zyl AI4TS 144 36 0 16 Dec 2021
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning Aaqib Parvez Mohammed Matias Valdenegro-Toro OOD OffRL 132 12 0 05 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 331 5 0 02 Dec 2021
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings Matias Valdenegro-Toro UQCV 121 3 0 18 Nov 2021
Uncertainty Quantification in Neural Differential Equations Olga Graf P. Flores P. Protopapas K. Pichara UQCV AI4CE 179 7 0 08 Nov 2021
Probabilistic Deep Learning for Real-Time Large Deformation SimulationsComputer Methods in Applied Mechanics and Engineering (CMAME), 2021 Saurabh Deshpande J. Lengiewicz Stéphane P. A. Bordas OOD BDL AI4CE 209 58 0 02 Nov 2021
Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy P. Mody Nicolas F. Chaves-de-Plaza Klaus Hildebrandt R. Egmond H. Ridder Marius Staring UQCV 162 7 0 01 Nov 2021
Mixture-of-Variational-Experts for Continual Learning Y. Yin Yu Wang CLL FedML 294 10 0 25 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual LearningNeural Information Processing Systems (NeurIPS), 2021 Danruo Deng Guangyong Chen Jianye Hao Qiong Wang Pheng-Ann Heng CLL AAML 130 98 0 09 Oct 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical ApplicationsReliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2021 Taotao Zhou E. Droguett A. Mosleh F. Chan EDL 119 59 0 08 Oct 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 350 11 0 08 Oct 2021
TyXe: Pyro-based Bayesian neural nets for Pytorch H. Ritter Theofanis Karaletsos OOD MU BDL 183 7 0 01 Oct 2021
Uncertainty-Aware Reliable Text ClassificationKnowledge Discovery and Data Mining (KDD), 2021 Yibo Hu Latifur Khan EDL UQCV 147 36 0 15 Jul 2021
Laplace Redux -- Effortless Bayesian Deep LearningNeural Information Processing Systems (NeurIPS), 2021 Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 667 387 0 28 Jun 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 165 0 0 25 Jun 2021