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Hyperparameter Ensembles for Robustness and Uncertainty Quantification

Neural Information Processing Systems (NeurIPS), 2020

24 June 2020

Papers citing "Hyperparameter Ensembles for Robustness and Uncertainty Quantification"

41 / 141 papers shown

Title
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs A. Baidya Joel Dapello J. DiCarlo Tiago Marques AAML 117 6 0 20 Oct 2021
Balancing Value Underestimation and Overestimation with Realistic Actor-Critic Sicen Li Qinyun Tang G. Wang Xinmeng Ma Li-quan Wang OffRL 169 4 0 19 Oct 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras Aleksander Madry 182 15 0 15 Oct 2021
Dense Uncertainty Estimation Jing Zhang Yuchao Dai Mochu Xiang Deng-Ping Fan Peyman Moghadam Mingyi He Christian J. Walder Kaihao Zhang Mehrtash Harandi Nick Barnes UQCV BDL 231 11 0 13 Oct 2021
Sparse MoEs meet Efficient Ensembles J. Allingham F. Wenzel Zelda E. Mariet Basil Mustafa J. Puigcerver ... Balaji Lakshminarayanan Jasper Snoek Dustin Tran Carlos Riquelme Ruiz Rodolphe Jenatton MoE 173 22 0 07 Oct 2021
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net Yanwu Yang Xutao Guo Yiwei Pan P. Shi Haiyan Lv Tingxia Ma UQCV 123 9 0 15 Sep 2021
Multi-headed Neural Ensemble Search Ashwin Raaghav Narayanan Arber Zela Tonmoy Saikia Thomas Brox Katharina Eggensperger UQCV 72 4 0 09 Jul 2021
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPsInternational Conference on Machine Learning (ICML), 2021 Yikang Zhang Zhuo Chen Zhaobai Zhong MoE 142 11 0 08 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 226 135 0 07 Jul 2021
Intrinsic uncertainties and where to find them Francesco Farina Lawrence Phillips Nicola J. Richmond UQCV UD 82 1 0 06 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 530 366 0 28 Jun 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic SparsityInternational Conference on Learning Representations (ICLR), 2021 Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zinan Lin Decebal Constantin Mocanu OOD 311 62 0 28 Jun 2021
Repulsive Deep Ensembles are BayesianNeural Information Processing Systems (NeurIPS), 2021 Francesco DÁngelo Vincent Fortuin UQCV BDL 310 113 0 22 Jun 2021
Well-tuned Simple Nets Excel on Tabular DatasetsNeural Information Processing Systems (NeurIPS), 2021 Arlind Kadra Marius Lindauer Katharina Eggensperger Josif Grabocka 138 228 0 21 Jun 2021
On Stein Variational Neural Network Ensembles Francesco DÁngelo Vincent Fortuin F. Wenzel UQCV BDL 175 30 0 20 Jun 2021
Deep Learning Through the Lens of Example DifficultyNeural Information Processing Systems (NeurIPS), 2021 R. Baldock Hartmut Maennel Behnam Neyshabur 191 176 0 17 Jun 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 270 421 0 15 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 165 7 0 09 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Zachary Nado Neil Band Mark Collier Josip Djolonga Michael W. Dusenberry ... D. Sculley Balaji Lakshminarayanan Jasper Snoek Y. Gal Dustin Tran UQCV ELM 254 106 0 07 Jun 2021
Greedy Bayesian Posterior Approximation with Deep Ensembles A. Tiulpin Matthew B. Blaschko UQCV FedML 168 4 0 29 May 2021
Deep Ensembles from a Bayesian Perspective L. Hoffmann Clemens Elster UD BDL UQCV 162 46 0 27 May 2021
Orthogonal Ensemble Networks for Biomedical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 118 24 0 22 May 2021
Priors in Bayesian Deep Learning: A ReviewInternational Statistical Review (ISR), 2021 Vincent Fortuin UQCV BDL 290 154 0 14 May 2021
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct ExplanationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Matthew Watson Bashar Awwad Shiekh Hasan Noura Al Moubayed OOD 89 24 0 14 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 178 19 0 10 May 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yao Xiao taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 164 115 0 08 Apr 2021
Accurate and Reliable Forecasting using Stochastic Differential Equations Peng Cui Zhijie Deng Wenbo Hu Jun Zhu UQCV 104 1 0 28 Mar 2021
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification Naoki Okamoto Soma Minami Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi FedML 87 2 0 27 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 125 29 0 19 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep SubnetworksIEEE International Conference on Computer Vision (ICCV), 2021 Alexandre Ramé Rémy Sun Matthieu Cord UQCV 247 63 0 10 Mar 2021
NOMU: Neural Optimization-based Model UncertaintyInternational Conference on Machine Learning (ICML), 2021 Jakob Heiss Jakob Weissteiner Hanna Wutte Sven Seuken Josef Teichmann BDL 281 22 0 26 Feb 2021
BORE: Bayesian Optimization by Density-Ratio EstimationInternational Conference on Machine Learning (ICML), 2021 Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 147 32 0 17 Feb 2021
Bayesian Neural Network Priors RevisitedInternational Conference on Learning Representations (ICLR), 2021 Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard Turner Mark van der Wilk Laurence Aitchison BDL UQCV 237 150 0 12 Feb 2021
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate ModelsInternational Conference on Learning Representations (ICLR), 2020 Xiaofang Wang Dan Kondratyuk Eric Christiansen Kris Kitani Y. Alon Elad Eban 338 57 0 03 Dec 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 313 746 0 06 Nov 2020
Combining Ensembles and Data Augmentation can Harm your CalibrationInternational Conference on Learning Representations (ICLR), 2020 Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 242 70 0 19 Oct 2020
Deep Ensembles for Low-Data Transfer Learning Basil Mustafa C. Riquelme J. Puigcerver andAndré Susano Pinto Daniel Keysers N. Houlsby FedML OOD 110 25 0 14 Oct 2020
Training independent subnetworks for robust prediction Marton Havasi Rodolphe Jenatton Stanislav Fort Jeremiah Zhe Liu Jasper Snoek Balaji Lakshminarayanan Andrew M. Dai Dustin Tran UQCV OOD 238 225 0 13 Oct 2020
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuningAsian Conference on Machine Learning (ACML), 2020 Zhijie Deng Jun Zhu BDL 174 9 0 05 Oct 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Katharina Eggensperger Yee Whye Teh OOD UQCV 186 85 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 285 112 0 15 Jun 2020