Hyperparameter Ensembles for Robustness and Uncertainty Quantification

24 June 2020

Papers citing "Hyperparameter Ensembles for Robustness and Uncertainty Quantification"

50 / 134 papers shown

Title
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets Shuo Sun Molei Qin Xinrun Wang Bo An FaML OffRL AIFin 22 4 0 14 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective Wenbo Shao Yan Xu Liang Peng Jun Li Hong Wang 32 15 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 29 9 0 11 Jan 2023
Bayesian posterior approximation with stochastic ensembles Oleksandr Balabanov Bernhard Mehlig H. Linander BDL UQCV 27 5 0 15 Dec 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification Xing Yan Yonghua Su Wenxuan Ma UQCV 27 1 0 26 Nov 2022
Deep Combinatorial Aggregation Yuesong Shen Daniel Cremers OOD UQCV 12 4 0 12 Oct 2022
Sequential Ensembling for Semantic Segmentation Rawal Khirodkar Brandon A. Smith Siddhartha Chandra Amit Agrawal A. Criminisi 27 2 0 08 Oct 2022
Meta-Ensemble Parameter Learning Zhengcong Fei Shuman Tian Junshi Huang Xiaoming Wei Xiaolin K. Wei OOD 38 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 32 0 0 09 Sep 2022
Bayesian Optimization-based Combinatorial Assignment Jakob Weissteiner Jakob Heiss Julien N. Siems Sven Seuken 27 10 0 31 Aug 2022
Hyperparameter Optimization for Unsupervised Outlier Detection Yue Zhao L. Akoglu 27 1 0 24 Aug 2022
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels Yue Zhao Guoqing Zheng Subhabrata Mukherjee R. McCann Ahmed Hassan Awadallah NoLa 23 25 0 24 Aug 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 36 18 0 24 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning 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 54 71 0 19 Jul 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 32 262 0 05 Jul 2022
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization Romain Egele Isabelle M Guyon V. Vishwanath Prasanna Balaprakash BDL 11 5 0 01 Jul 2022
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation G. Nam Hyungi Lee Byeongho Heo Juho Lee UQCV FedML 23 7 0 30 Jun 2022
Ensembling over Classifiers: a Bias-Variance Perspective Neha Gupta Jamie Smith Ben Adlam Zelda E. Mariet FedML UQCV FaML 13 6 0 21 Jun 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding Lingxiao Zhao L. Akoglu OODD 30 22 0 15 Jun 2022
Deep Isolation Forest for Anomaly Detection Hongzuo Xu Guansong Pang Yijie Wang Yongjun Wang 32 182 0 14 Jun 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning Bertrand Charpentier Ransalu Senanayake Mykel Kochenderfer Stephan Günnemann PER UD 50 24 0 03 Jun 2022
Feature Space Particle Inference for Neural Network Ensembles Shingo Yashima Teppei Suzuki Kohta Ishikawa Ikuro Sato Rei Kawakami BDL 12 11 0 02 Jun 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 196 128 0 19 May 2022
A Taxonomy of Error Sources in HPC I/O Machine Learning Models Mihailo Isakov Mikaela Currier Eliakin Del Rosario Sandeep Madireddy Prasanna Balaprakash P. Carns R. Ross Glenn K. Lockwood Michel A. Kinsy 24 1 0 18 Apr 2022
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology J. Dolezal Andrew Srisuwananukorn D. Karpeyev S. Ramesh S. Kochanny ... Jefree J. Schulte E. Vokes M. Garassino A. Husain A. Pearson OOD 24 96 0 09 Apr 2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting Tanwi Mallick Prasanna Balaprakash Jane Macfarlane BDL 25 11 0 04 Apr 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark J. F. Gales UQCV 14 11 0 15 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 54 914 1 10 Mar 2022
Embedded Ensembles: Infinite Width Limit and Operating Regimes Maksim Velikanov Roma Kail Ivan Anokhin Roman Vashurin Maxim Panov Alexey Zaytsev Dmitry Yarotsky 17 1 0 24 Feb 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks Tim Whitaker L. D. Whitley UQCV 13 23 0 23 Feb 2022
Improving robustness and calibration in ensembles with diversity regularization H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 19 7 0 26 Jan 2022
Latent Time Neural Ordinary Differential Equations Srinivas Anumasa P. K. Srijith BDL 19 5 0 23 Dec 2021
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante 19 15 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 44 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 24 65 0 30 Nov 2021
Efficient Self-Ensemble for Semantic Segmentation Walid Bousselham Guillaume Thibault Lucas Pagano Archana Machireddy Joe W. Gray Y. Chang Xubo B. Song ViT 33 24 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 28 11 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 41 80 0 26 Oct 2021
Diversity and Generalization in Neural Network Ensembles Luis A. Ortega Rafael Cabañas A. Masegosa FedML UQCV 17 43 0 26 Oct 2021
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Prasanna Balaprakash UQCV OOD BDL 20 45 0 26 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 20 60 0 20 Oct 2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs A. Baidya Joel Dapello J. DiCarlo Tiago Marques AAML 27 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 9 4 0 19 Oct 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras A. Madry 64 14 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 54 10 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 46 21 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 27 8 0 15 Sep 2021
Multi-headed Neural Ensemble Search Ashwin Raaghav Narayanan Arber Zela Tonmoy Saikia Thomas Brox Frank Hutter UQCV 26 4 0 09 Jul 2021
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs Yikang Zhang Zhuo Chen Zhaobai Zhong MoE 25 8 0 08 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 20 116 0 07 Jul 2021