Snapshot Ensembles: Train 1, get M for free

1 April 2017

Gao Huang

Papers citing "Snapshot Ensembles: Train 1, get M for free"

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Title
Parameter Averaging in Link Prediction Rupesh Sapkota Caglar Demir Arnab Sharma A. Ngomo MoMe FedML 236 0 0 29 Oct 2025
Symbolic Snapshot Ensembles Mingyue Liu Andrew Cropper 48 0 0 28 Oct 2025
What Does It Take to Build a Performant Selective Classifier? Stephan Rabanser Nicolas Papernot 174 0 0 23 Oct 2025
Benchmarking noisy label detection methods Henrique Pickler Jorge K. S. Kamassury Danilo Silva NoLa 160 0 0 17 Oct 2025
A Unified Noise-Curvature View of Loss of Trainability Gunbir Singh Baveja Alex Lewandowski Mark Schmidt 121 0 0 24 Sep 2025
Pre-training under infinite compute Konwoo Kim Suhas Kotha Abigail Z. Jacobs Tatsunori Hashimoto 188 1 0 18 Sep 2025
Uncertainty-Aware Hourly Air Temperature Mapping at 2 km Resolution via Physics-Guided Deep Learning Shengjie Liu Siqin Wang Lu Zhang 52 0 0 15 Sep 2025
Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation Jeremiah Fadugba P. Manescu Bolanle Oladejo D. Fernández-Reyes Philipp Berens UQCV OOD FedML 158 0 0 15 Sep 2025
Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity Alejandro Rodriguez Dominguez Muhammad Shahzad Xia Hong UQCV 135 2 0 02 Sep 2025
Regime-Switching Langevin Monte Carlo Algorithms Xiaoyu Wang Yingli Wang Lingjiong Zhu 64 0 0 31 Aug 2025
Self-Error Adjustment: Theory and Practice of Balancing Individual Performance and Diversity in Ensemble Learning Rui Zou 61 0 0 07 Aug 2025
Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture Erfan Hamdi Emma Lejeune OOD AI4CE 189 0 0 09 Jul 2025
The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions Devin Kwok Gül Sena Altıntaş Colin Raffel David Rolnick 319 2 0 16 Jun 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2025 Juntae Lee Munawar Hayat Sungrack Yun CLL 184 2 0 04 Jun 2025
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization C. Tan Yubo Zhou Haishan Ye Guang Dai Junmin Liu Zengjie Song Jiangshe Zhang Zixiang Zhao Yunda Hao Yong Xu AAML 214 0 0 29 May 2025
Asymmetric Duos: Sidekicks Improve Uncertainty Tim G. Zhou Evan Shelhamer Geoff Pleiss UQCV 373 0 0 24 May 2025
Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference Yuta Matsui Ryosuke Yamaki Ryo Ueda Seitaro Shinagawa Tadahiro Taniguchi MLLM 276 3 0 13 Apr 2025
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural NetworksIEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), 2025 Rian Adam Rajagede M. Santriaji Muhammad Arya Fikriansyah Hilal Hudan Nuha Yanjie Fu Yan Solihin AAML 194 0 0 09 Apr 2025
Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise InjectionInternational Conference on Neural Information Processing (ICONIP), 2025 Shunsuke Sakai Shunsuke Tsuge Tatsuhito Hasegawa 102 0 0 08 Apr 2025
DyTTP: Trajectory Prediction with Normalization-Free Transformers Yunxiang Liu Hongkuo Niu 230 1 0 07 Apr 2025
Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos Jiaheng Zhou Yanfeng Zhou Wei Fang Yuxing Tang Le Lu Ge Yang Mamba 942 0 0 26 Mar 2025
Bezier Distillation Ling Feng SK Yang 127 0 0 20 Mar 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy PredictionIEEE International Conference on Robotics and Automation (ICRA), 2025 Severin Heidrich Till Beemelmanns Alexey Nekrasov Bastian Leibe Lutz Eckstein 225 2 0 13 Mar 2025
Revisiting semi-supervised learning in the era of foundation models Ping Zhang Zheda Mai Quang-Huy Nguyen Wei-Lun Chao 432 2 0 12 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes RiskInternational Conference on Learning Representations (ICLR), 2025 Nico Daheim Clara Meister Thomas Möllenhoff Iryna Gurevych 260 8 0 07 Mar 2025
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation Lei Zhu Yanyu Xu Huazhu Fu Xinxing Xu Rick Siow Mong Goh Yong Liu 108 1 0 07 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated ClientsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2024 Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 454 26 0 28 Feb 2025
Revisiting Gradient-based Uncertainty for Monocular Depth EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 245 3 0 09 Feb 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets Xuyang Zhong Chen Liu DD 291 2 0 08 Jan 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Michele De Vita Vasileios Belagiannis DiffM 345 3 0 29 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 890 1 0 25 Nov 2024
Ex Uno Pluria: Insights on Ensembling in Low Precision Number SystemsNeural Information Processing Systems (NeurIPS), 2024 G. Nam Juho Lee 264 1 0 22 Nov 2024
Deep Model Merging: The Sister of Neural Network Interpretability -- A Survey A. Khan Todd Nief Nathaniel Hudson Mansi Sakarvadia Daniel Grzenda Aswathy Ajith Jordan Pettyjohn Kyle Chard Ian Foster MoMe 127 1 0 16 Oct 2024
Process Reward Model with Q-Value RankingsInternational Conference on Learning Representations (ICLR), 2024 W. Li Yixuan Li LRM 510 57 0 15 Oct 2024
Boosting Deep Ensembles with Learning Rate Tuning Hongpeng Jin Yanzhao Wu 157 2 0 10 Oct 2024
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-TimeEuropean Conference on Computer Vision (ECCV), 2024 Chiao-An Yang Ziwei Liu Raymond A. Yeh 144 1 0 01 Oct 2024
$M$^{2}$M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need$ M $^{2}$ M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need Aoming Liang Zhaoyang Mu Pengxiao Lin Cong Wang Mingming Ge Ling Shao Dixia Fan Hao Tang AI4CE 209 1 0 01 Oct 2024
Scalable Ensemble Diversification for OOD Generalization and Detection Alexander Rubinstein Luca Scimeca Damien Teney Seong Joon Oh BDL OOD 970 2 0 25 Sep 2024
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network Sijia Du Shilun Cai Suncheng Xiang Jianwei Xu Xiaobo Li MedIm MDE 152 1 0 23 Sep 2024
SnapE -- Training Snapshot Ensembles of Link Prediction ModelsInternational Workshop on the Semantic Web (SW), 2024 Ali Shaban Heiko Paulheim VLM 151 4 0 05 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 179 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-EnsemblesPattern Recognition Letters (PR), 2024 Hojung Lee Jong-Seok Lee UQCV 469 2 0 05 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMsInternational Conference on Learning Representations (ICLR), 2024 Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 380 102 0 01 Aug 2024
Deep Companion Learning: Enhancing Generalization Through Historical Consistency Ruizhao Zhu Venkatesh Saligrama FedML 185 0 0 26 Jul 2024
Training-Free Model Merging for Multi-target Domain Adaptation Wenyi Li Huan-ang Gao Mingju Gao Beiwen Tian Rong Zhi Hao Zhao MoMe 212 10 0 18 Jul 2024
Multimodal Multilabel Classification by CLIP Yanming Guo VLM 136 1 0 23 Jun 2024
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for EnsemblingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Yao-Ching Yu Chun-Chih Kuo Ziqi Ye Yu-Cheng Chang Yueh-Se Li 178 23 0 18 Jun 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation Branislav Pecher Ján Cegin Róbert Belanec Jakub Simko Ivan Srba Maria Bielikova 177 1 0 18 Jun 2024
Improving child speech recognition with augmented child-like speech Yuanyuan Zhang Zhengjun Yue T. Patel O. Scharenborg 118 11 0 12 Jun 2024
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm Daniel Yun FedML MoMe 204 1 0 07 Jun 2024

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Snapshot Ensembles: Train 1, get M for free

Papers citing "Snapshot Ensembles: Train 1, get M for free"