Papers citing 'Hyperparameter Ensembles for Robustness and Uncertainty Quantification'

Title
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity S. Yu Dongjun Nam Dina Katabi Jeany Son 28 0 0 26 Oct 2025
CaMiT: A Time-Aware Car Model Dataset for Classification and Generation Frédéric LIN Biruk Abere Ambaw Adrian Daniel Popescu Hejer Ammar Romaric Audigier Hervé Le Borgne VLM AI4TS 102 0 0 20 Oct 2025
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization Masih Aminbeidokhti H. R. Medeiros Srikanth Muralidharan Eric Granger M. Pedersoli OOD 36 0 0 08 Oct 2025
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP Galadrielle Humblot-Renaux Gianni Franchi Sergio Escalera T. Moeslund VLM OOD OODD 129 0 0 30 Jul 2025
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk Ilia Azizi Juraj Bodik Jakob Heiss Bin Yu UQCV UD 193 2 0 10 Jul 2025
Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital PathologyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025 Nirhoshan Sivaroopan Chamuditha Jayanga Galappaththige Chalani Ekanayake Hasindri Watawana Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage 114 0 0 13 Jun 2025
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)Research Square (RS), 2025 Zhongnan Fang Andrew Johnston Lina Cheuy Hye Sun Na Magdalini Paschali ... Derrick Laurel Andrew Walker Campion Michael Iv Akshay S. Chaudhari David B. Larson 158 0 0 16 May 2025
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification Michael Schulze Nikolas Ebert Laurenz Reichardt Oliver Wasenmüller UQCV 150 0 0 20 Jan 2025
Stein Variational Newton Neural Network Ensembles Klemens Flöge Mohammed Abdul Moeed Vincent Fortuin BDL UQCV 173 0 0 04 Nov 2024
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward ModelingInternational Conference on Learning Representations (ICLR), 2024 Guiyu Zhang Huan-ang Gao Zijian Jiang Hao Zhao Zhedong Zheng EGVM 243 11 0 15 Oct 2024
Boosting Deep Ensembles with Learning Rate Tuning Hongpeng Jin Yanzhao Wu 125 1 0 10 Oct 2024
Regularized Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 169 0 0 06 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 269 2 0 29 Sep 2024
Scalable Ensemble Diversification for OOD Generalization and Detection Alexander Rubinstein Luca Scimeca Damien Teney Seong Joon Oh BDL OOD 878 2 0 25 Sep 2024
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology Mario De Florio Zongren Zou Daniele E. Schiavazzi George Karniadakis 148 6 0 13 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 127 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-EnsemblesPattern Recognition Letters (PR), 2024 Hojung Lee Jong-Seok Lee UQCV 328 2 0 05 Aug 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 299 8 0 23 May 2024
Application of Deep Learning Methods to Processing of Noisy Medical Video Data Danil Afonchikov E. Kornaeva Irina Makovik Alexey Kornaev 94 0 0 16 Apr 2024
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning Xudong Yu Chenjia Bai Hongyi Guo Changhong Wang Zhen Wang OffRL 197 0 0 09 Apr 2024
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers Anh-Vu Bui Vy Vo Tung Pham Dinh Q. Phung Trung Le FedML UQCV 138 1 0 19 Mar 2024
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution Tailin Wu Willie Neiswanger Hongtao Zheng Stefano Ermon J. Leskovec AI4CE 170 5 0 13 Feb 2024
SAE: Single Architecture Ensemble Neural NetworksBritish Machine Vision Conference (BMVC), 2024 Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues UQCV 112 0 0 09 Feb 2024
How Good is a Single Basin?International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Kai Lion Lorenzo Noci Thomas Hofmann Gregor Bachmann UQCV 113 3 0 05 Feb 2024
Inadequacy of common stochastic neural networks for reliable clinical decision support Adrian Lindenmeyer Malte Blattmann S. Franke Thomas Neumuth Daniel Schneider BDL 196 3 0 24 Jan 2024
Large Language Models are Miscalibrated In-Context Learners Chengzu Li Han Zhou Goran Glavaš Anna Korhonen Ivan Vulić 108 14 0 21 Dec 2023
Learning to Compose SuperWeights for Neural Parameter Allocation SearchIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Piotr Teterwak Soren Nelson Nikoli Dryden D. Bashkirova Kate Saenko Bryan A. Plummer 152 2 0 03 Dec 2023
Uncertainty Quantification in Neural-Network Based Pain Intensity EstimationPLoS ONE (PLoS ONE), 2023 Burcu Ozek Zhenyuan Lu S. Radhakrishnan S. Kamarthi 86 3 0 14 Nov 2023
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Shigang Chen Ronald Fick Miles Medina Christine Angelini 127 17 0 08 Nov 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 380 14 0 17 Oct 2023
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat OverfitAAAI Conference on Artificial Intelligence (AAAI), 2023 Uri Stern Daniel Shwartz D. Weinshall 100 4 0 17 Oct 2023
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data Konstantinos Pitas Julyan Arbel BDL UQCV FedML 143 0 0 04 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 133 0 0 01 Oct 2023
LoRA ensembles for large language model fine-tuning Xi Wang Laurence Aitchison Maja Rudolph UQCV 266 49 0 29 Sep 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 258 12 0 25 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and IgnoranceIEEE International Conference on Computer Vision (ICCV), 2023 Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 115 5 0 14 Sep 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration Vinith Kugathasan M. H. Khan UQCV 96 1 0 06 Sep 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 132 1 0 11 Aug 2023
Likelihood-ratio-based confidence intervals for neural networksMachine-mediated learning (ML), 2023 Laurens Sluijterman Eric Cator Tom Heskes UQCV 98 0 0 04 Aug 2023
Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation Jung Hyun Ryu Jaeheyoung Jeon Jewoong Cho Myung-joo Kang MoMe 80 1 0 05 Jul 2023
Uncertainty Estimation for Molecules: Desiderata and MethodsInternational Conference on Machine Learning (ICML), 2023 Tom Wollschlager Nicholas Gao Bertrand Charpentier Mohamed Amine Ketata Stephan Günnemann 138 12 0 20 Jun 2023
Multiclass Confidence and Localization Calibration for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023 Bimsara Pathiraja Malitha Gunawardhana M. H. Khan UQCV 139 22 0 14 Jun 2023
Synthetic data, real errors: how (not) to publish and use synthetic dataInternational Conference on Machine Learning (ICML), 2023 B. V. Breugel Zhaozhi Qian M. Schaar SyDa 207 41 0 16 May 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 200 21 0 20 Apr 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep LearningComputer Vision and Pattern Recognition (CVPR), 2023 Hanjing Wang D. Joshi Maroun Touma Q. Ji UQCV BDL 95 10 0 10 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 162 4 0 08 Apr 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly IdentificationNature Communications (Nat. Commun.), 2023 Meng Wang Tian Lin Lianyu Wang Aidi Lin K. Zou ... Rahul Gupta C. Pang Xinjian Chen Haoyu Chen Huazhu Fu 272 58 0 08 Apr 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 149 2 0 23 Mar 2023
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 110 1 0 15 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 286 0 0 14 Mar 2023