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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"

50 / 141 papers shown

Title
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 114 1 0 15 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 338 0 0 14 Mar 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing SymmetriesInternational Conference on Machine Learning (ICML), 2023 Charlotte Loh Seung-Jun Han Shivchander Sudalairaj Rumen Dangovski Kai Xu F. Wenzel Marin Soljacic Akash Srivastava UQCV 142 2 0 04 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation FunctionsAAAI Conference on Artificial Intelligence (AAAI), 2023 Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 111 2 0 28 Feb 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 409 47 0 26 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 146 5 0 11 Feb 2023
Confidence-based Reliable Learning under Dual NoisesNeural Information Processing Systems (NeurIPS), 2023 Peng Cui Yang Yue Zhijie Deng Jun Zhu NoLa 64 10 0 10 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 229 2 0 02 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 292 20 0 01 Feb 2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets Shuo Sun Molei Qin Xinrun Wang Bo An FaML OffRL AIFin 220 7 0 14 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty PerspectiveIEEE International Conference on Robotics and Automation (ICRA), 2023 Wenbo Shao Yan Xu Liang Peng Jun Li Hong Wang 115 18 0 11 Jan 2023
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? Wenbo Shao Yan Xu Jun Yu Li Chen Lv Weida Wang Hong Wang 124 12 0 11 Jan 2023
Bayesian posterior approximation with stochastic ensemblesComputer Vision and Pattern Recognition (CVPR), 2022 Oleksandr Balabanov Bernhard Mehlig Hampus Linander BDL UQCV 184 6 0 15 Dec 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Xing Yan Yonghua Su Wenxuan Ma UQCV 198 2 0 26 Nov 2022
Deep Combinatorial AggregationNeural Information Processing Systems (NeurIPS), 2022 Yuesong Shen Zorah Lähner OOD UQCV 85 6 0 12 Oct 2022
Sequential Ensembling for Semantic Segmentation Rawal Khirodkar Brandon A. Smith Siddhartha Chandra Amit Agrawal A. Criminisi 120 3 0 08 Oct 2022
Meta-Ensemble Parameter Learning Zhengcong Fei Shuman Tian Junshi Huang Xiaoming Wei Xiaolin K. Wei OOD 156 2 0 05 Oct 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 91 0 0 09 Sep 2022
Bayesian Optimization-based Combinatorial AssignmentAAAI Conference on Artificial Intelligence (AAAI), 2022 Jakob Weissteiner Jakob Heiss Julien N. Siems Sven Seuken 191 11 0 31 Aug 2022
Hyperparameter Optimization for Unsupervised Outlier Detection Yue Zhao Leman Akoglu 202 4 0 24 Aug 2022
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy LabelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Yue Zhao Guoqing Zheng Subhabrata Mukherjee R. McCann Ahmed Hassan Awadallah NoLa 121 30 0 24 Aug 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 158 19 0 24 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer LearningNeural Information Processing Systems (NeurIPS), 2022 F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 237 83 0 19 Jul 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondInternational Conference on Learning Representations (ICLR), 2022 Noah Hollmann Samuel G. Müller Katharina Eggensperger Katharina Eggensperger 377 456 0 05 Jul 2022
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter OptimizationIEEE International Conference on e-Science (ICE), 2022 Romain Egele Isabelle M Guyon V. Vishwanath Dali Wang BDL 255 9 0 01 Jul 2022
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationInternational Conference on Machine Learning (ICML), 2022 G. Nam Hyungi Lee Byeongho Heo Juho Lee UQCV FedML 106 9 0 30 Jun 2022
Ensembling over Classifiers: a Bias-Variance Perspective Neha Gupta Jamie Smith Ben Adlam Zelda E. Mariet FedML UQCV FaML 122 7 0 21 Jun 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble SolutionNeural Information Processing Systems (NeurIPS), 2022 Xueying Ding Lingxiao Zhao Leman Akoglu OODD 128 25 0 15 Jun 2022
Deep Isolation Forest for Anomaly DetectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Hongzuo Xu Guansong Pang Yijie Wang Yongjun Wang 244 317 0 14 Jun 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning Bertrand Charpentier Ransalu Senanayake Mykel Kochenderfer Stephan Günnemann PER UD 131 29 0 03 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 156 12 0 02 Jun 2022
Diverse Weight Averaging for Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2022 Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 405 153 0 19 May 2022
A Taxonomy of Error Sources in HPC I/O Machine Learning ModelsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022 Mihailo Isakov Mikaela Currier Eliakin Del Rosario Sandeep Madireddy Dali Wang P. Carns R. Ross Glenn K. Lockwood Michel A. Kinsy 82 3 0 18 Apr 2022
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital HistopathologyNature Communications (Nat Commun), 2022 J. Dolezal Andrew Srisuwananukorn D. Karpeyev S. Ramesh S. Kochanny ... Jefree J. Schulte E. Vokes M. Garassino A. Husain A. Pearson OOD 210 114 0 09 Apr 2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting Tanwi Mallick Dali Wang Jane Macfarlane BDL 98 12 0 04 Apr 2022
Self-Distribution Distillation: Efficient Uncertainty EstimationConference on Uncertainty in Artificial Intelligence (UAI), 2022 Yassir Fathullah Mark Gales UQCV 73 11 0 15 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeInternational Conference on Machine Learning (ICML), 2022 Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 488 1,216 1 10 Mar 2022
Embedded Ensembles: Infinite Width Limit and Operating RegimesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Maksim Velikanov Roma Kail Ivan Anokhin Roman Vashurin Maxim Panov Alexey Zaytsev Dmitry Yarotsky 102 1 0 24 Feb 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent SubnetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 Tim Whitaker L. D. Whitley UQCV 134 28 0 23 Feb 2022
Improving robustness and calibration in ensembles with diversity regularizationGerman Conference on Pattern Recognition (GCPR), 2022 H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 103 9 0 26 Jan 2022
Latent Time Neural Ordinary Differential EquationsAAAI Conference on Artificial Intelligence (AAAI), 2021 Srinivas Anumasa P. K. Srijith BDL 100 6 0 23 Dec 2021
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante 193 16 0 22 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 249 7 0 08 Dec 2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 328 88 0 30 Nov 2021
Efficient Self-Ensemble for Semantic SegmentationBritish Machine Vision Conference (BMVC), 2021 Walid Bousselham Guillaume Thibault Lucas Pagano Archana Machireddy Joe W. Gray Y. Chang Xubo B. Song ViT 171 32 0 26 Nov 2021
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One Shuwei Shao Ran Li Z. Pei Zhong Liu Weihai Chen Wentao Zhu Xingming Wu Baochang Zhang ViT MDE 69 17 0 16 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 215 101 0 26 Oct 2021
Diversity and Generalization in Neural Network Ensembles Luis A. Ortega Rafael Cabañas A. Masegosa FedML UQCV 146 52 0 26 Oct 2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Dali Wang UQCV OOD BDL 198 52 0 26 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training MethodsInternational Conference on Learning Representations (ICLR), 2021 Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 203 70 0 20 Oct 2021

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Hyperparameter Ensembles for Robustness and Uncertainty Quantification

Papers citing "Hyperparameter Ensembles for Robustness and Uncertainty Quantification"