v1v2 (latest)

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
Being a Bit Frequentist Improves Bayesian Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 208 17 0 18 Jun 2021
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks Yutian Pang Sheng Cheng Jueming Hu Yongming Liu AAML 175 12 0 17 Jun 2021
Frustratingly Easy Uncertainty Estimation for Distribution Shift Tiago Salvador Vikram S. Voleti Alexander Iannantuono Adam M. Oberman OOD UQCV 157 1 0 07 Jun 2021
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyInternational Conference on Learning Representations (ICLR), 2021 Yuchen Jin Wanrong Zhu Liangyu Zhao Yibo Zhu Chuanxiong Guo Marco Canini Arvind Krishnamurthy 170 24 0 22 May 2021
Selective Probabilistic Classifier Based on Hypothesis TestingEuropean Workshop on Visual Information Processing (EUVIP), 2021 Saeed Bakhshi Germi Esa Rahtu H. Huttunen 204 1 0 09 May 2021
Uncertainty-Aware Self-Supervised Learning of Spatial Perception TasksIEEE Robotics and Automation Letters (RA-L), 2021 Mirko Nava Antonio Paolillo Jérôme Guzzi L. Gambardella Alessandro Giusti SSL 201 16 0 22 Mar 2021
Robustness via Cross-Domain EnsemblesIEEE International Conference on Computer Vision (ICCV), 2021 Teresa Yeo Oğuzhan Fatih Kar Alexander Sax Amir Zamir UQCV OOD 204 30 0 19 Mar 2021
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2021 Namyeong Kwon Hwidong Na Gabriel Huang Damien Scieur 99 7 0 16 Mar 2021
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation NoiseGerman Conference on Pattern Recognition (DAGM), 2021 Jannik Schmitt Stefan Roth UQCV 190 6 0 15 Mar 2021
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speechIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2021 A. Nautsch Xin Wang Nicholas W. D. Evans Tomi Kinnunen Ville Vestman Massimiliano Todisco Héctor Delgado Md. Sahidullah Junichi Yamagishi Kong Aik Lee 297 199 0 11 Feb 2021
Bayesian neural networks for weak solution of PDEs with uncertainty quantification Xiaoxuan Zhang K. Garikipati AI4CE 187 14 0 13 Jan 2021
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark StudyIEEE Transactions on Biomedical Engineering (IEEE TBME), 2020 Matthew Ng F. Guo L. Biswas S. Petersen Stefan K. Piechnik S. Neubauer G. Wright UQCV 208 42 0 31 Dec 2020
Probabilistic electric load forecasting through Bayesian Mixture Density NetworksApplied Energy (Appl Energy), 2020 A. Brusaferri Matteo Matteucci S. Spinelli Andrea Vitali 148 49 0 23 Dec 2020
Post-hoc Uncertainty Calibration for Domain Drift ScenariosComputer Vision and Pattern Recognition (CVPR), 2020 Christian Tomani Sebastian Gruber Muhammed Ebrar Erdem Zorah Lähner Florian Buettner UQCV 334 77 0 20 Dec 2020
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2019 Christian Tomani Florian Buettner UQCV AAML OOD 275 41 0 20 Dec 2020
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online LearningNeural Information Processing Systems (NeurIPS), 2020 Aodong Li Alex Boyd Padhraic Smyth Stephan Mandt 436 30 0 15 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020 Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Tianpeng Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 919 2,266 0 12 Nov 2020
Domain Generalization in Biosignal ClassificationIEEE Transactions on Biomedical Engineering (IEEE TBME), 2020 T. Dissanayake Tharindu Fernando Akila Pemasiri H. Ghaemmaghami Sridha Sridharan Clinton Fookes OOD 192 18 0 12 Nov 2020
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response JacobiansNeural Information Processing Systems (NeurIPS), 2020 Juhan Bae Roger C. Grosse 153 27 0 26 Oct 2020
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures Benjamin Kompa Jasper Snoek Andrew L. Beam UQCV BDL 299 33 0 06 Oct 2020
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuningAsian Conference on Machine Learning (ACML), 2020 Zhijie Deng Jun Zhu BDL 294 9 0 05 Oct 2020
TensorBNN: Bayesian Inference for Neural Networks using Tensorflow B. Kronheim M. Kuchera Harrison B. Prosper BDL 168 11 0 30 Sep 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 261 58 0 03 Sep 2020
Loss convergence in a causal Bayesian neural network of retail firm performance F. T. Rogers BDL CML 64 0 0 29 Aug 2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples Julia Lust Alexandru Paul Condurache UQCV AAML AI4CE 202 8 0 21 Aug 2020
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences Héctor J. Hortúa Luigi Malagò Riccardo Volpi UQCV BDL 154 2 0 15 Aug 2020
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural NetworksInternational Conference on Information Photonics (ICIP), 2020 Anatol Maier Benedikt Lorch Christian Riess AAML 175 18 0 28 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 250 68 0 20 Jul 2020
Transferable Calibration with Lower Bias and Variance in Domain AdaptationNeural Information Processing Systems (NeurIPS), 2020 Ximei Wang Mingsheng Long Jianmin Wang Sai Li 164 63 0 16 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning UsersIEEE Computational Intelligence Magazine (IEEE CIM), 2020 Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 534 774 0 14 Jul 2020
Bayesian Deep Ensembles via the Neural Tangent KernelNeural Information Processing Systems (NeurIPS), 2020 Bobby He Balaji Lakshminarayanan Yee Whye Teh BDL UQCV 261 124 0 11 Jul 2020
Detection of Gravitational Waves Using Bayesian Neural Networks Yu-Chiung Lin Jiun-Huei Proty Wu 202 29 0 08 Jul 2020
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationNeural Information Processing Systems (NeurIPS), 2020 F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 504 234 0 24 Jun 2020
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks Felix Biggs Benjamin Guedj FedML UQCV BDL 112 37 0 22 Jun 2020
Predictive Complexity Priors Eric T. Nalisnick Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV 364 19 0 18 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation Zhiyun Lu Eugene Ie Fei Sha UQCV BDL 188 16 0 13 Jun 2020
Bayesian Neural Networks Tom Charnock Laurence Perreault Levasseur F. Lanusse UQCV BDL 228 3 0 02 Jun 2020
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study Himanshu Sharma Elise Jennings BDL 193 4 0 23 May 2020
Constraining the Reionization History using Bayesian Normalizing Flows Héctor J. Hortúa Luigi Malagò Riccardo Volpi BDL 158 20 0 14 May 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 356 229 0 14 May 2020
Parameters Estimation from the 21 cm signal using Variational Inference Héctor J. Hortúa Riccardo Volpi Luigi Malagò 161 3 0 04 May 2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms J. Caldeira Brian D. Nord BDL UQCV UD 339 91 0 22 Apr 2020
Defense Through Diverse DirectionsInternational Conference on Machine Learning (ICML), 2020 Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 130 4 0 24 Mar 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningInternational Conference on Learning Representations (ICLR), 2020 Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 427 535 0 17 Feb 2020
Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep LearningISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), 2020 M. Mehltretter UQCV BDL 121 8 0 10 Feb 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural NetworksInternational Conference on Machine Learning (ICML), 2020 J. Swiatkowski Kevin Roth Bastiaan S. Veeling Linh-Tam Tran Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Rodolphe Jenatton Sebastian Nowozin BDL 263 50 0 07 Feb 2020
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks Angelos Filos Sebastian Farquhar Aidan Gomez Tim G. J. Rudner Zachary Kenton Lewis Smith Milad Alizadeh A. D. Kroon Y. Gal BDL AAML OOD UQCV 264 119 0 22 Dec 2019
Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer Geoffroy Dubourg-Felonneau Omar A. Darwish C. Parsons D. Rebergen J. Cassidy Nirmesh Patel Harry W. Clifford BDL 56 1 0 06 Dec 2019
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 424 696 0 05 Dec 2019
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 98 6 0 05 Dec 2019