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
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Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generationIEEE International Joint Conference on Neural Network (IJCNN), 2023 Adam Piróg Halina Kwasnicka 89 1 0 17 Jul 2023
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Improving Online Continual Learning Performance and Stability with Temporal Ensembles Albin Soutif--Cormerais Antonio Carta Joost van de Weijer CLL 226 15 0 29 Jun 2023
Sparse Model Soups: A Recipe for Improved Pruning via Model AveragingInternational Conference on Learning Representations (ICLR), 2023 Max Zimmer Christoph Spiegel Sebastian Pokutta MoMe 395 18 0 29 Jun 2023
Traversing Between Modes in Function Space for Fast EnsemblingInternational Conference on Machine Learning (ICML), 2023 Eunggu Yun Hyungi Lee G. Nam Juho Lee UQCV 135 3 0 20 Jun 2023
The Split Matters: Flat Minima Methods for Improving the Performance of GNNsInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2023 N. Lell A. Scherp 164 2 0 15 Jun 2023
Integrating Uncertainty Awareness into Conformalized Quantile RegressionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Raphael Rossellini Rina Foygel Barber Rebecca Willett 367 13 0 14 Jun 2023
Lookaround Optimizer: $k$ steps around, 1 step averageNeural Information Processing Systems (NeurIPS), 2023 Jiangtao Zhang Shunyu Liu Mingli Song Tongtian Zhu Zhenxing Xu Weilong Dai MoMe 350 8 0 13 Jun 2023
Population-Based Evolutionary Gaming for Unsupervised Person Re-identificationInternational Journal of Computer Vision (IJCV), 2022 Yunpeng Zhai Peixi Peng Mengxi Jia Shiyong Li Weiqiang Chen Xuesong Gao Yonghong Tian 182 17 0 08 Jun 2023
Optimal Transport Model Distributional RobustnessNeural Information Processing Systems (NeurIPS), 2023 Van-Anh Nguyen Trung Le Anh Tuan Bui Thanh-Toan Do Dinh Q. Phung OOD 209 4 0 07 Jun 2023
The Information Pathways Hypothesis: Transformers are Dynamic Self-EnsemblesKnowledge Discovery and Data Mining (KDD), 2023 Md Shamim Hussain Mohammed J Zaki D. Subramanian 276 3 0 02 Jun 2023
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Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Fabian David Schmidt Ivan Vulić Goran Glavaš 149 11 0 26 May 2023
Transferring Learning Trajectories of Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Daiki Chijiwa 187 4 0 23 May 2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence UncertaintiesConference on Uncertainty in Artificial Intelligence (UAI), 2023 Yassir Fathullah Guoxuan Xia Mark Gales UQCV 155 5 0 17 May 2023
Securing Distributed SGD against Gradient Leakage ThreatsIEEE Transactions on Parallel and Distributed Systems (TPDS), 2023 Wenqi Wei Ling Liu Jingya Zhou Ka-Ho Chow Yanzhao Wu FedML 116 26 0 10 May 2023
Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and ForcesPhysical Chemistry, Chemical Physics - PCCP (PCCP), 2023 Jonas Busk Mikkel N. Schmidt Ole Winther Tejs Vegge Peter Bjørn Jørgensen 162 13 0 10 May 2023
ZipIt! Merging Models from Different Tasks without TrainingInternational Conference on Learning Representations (ICLR), 2023 George Stoica Daniel Bolya J. Bjorner Pratik Ramesh Taylor N. Hearn Judy Hoffman VLM MoMe 354 158 0 04 May 2023
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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 163 11 0 10 Apr 2023
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Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 144 0 0 11 Jan 2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? S. Rajaraman Feng Yang Ghada Zamzmi Z. Xue Sameer Kiran Antani 205 0 0 10 Jan 2023
Deep Negative Correlation ClassificationMachine-mediated learning (ML), 2022 Le Zhang Qibin Hou Yun-Hai Liu Jiawang Bian Xun Xu Qiufeng Wang Ce Zhu 129 1 0 14 Dec 2022
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Weighted Ensemble Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022 Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 212 19 0 18 Nov 2022

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Snapshot Ensembles: Train 1, get M for free

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