Snapshot Ensembles: Train 1, get M for free

1 April 2017

Gao Huang

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

50 / 445 papers shown

Title
The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions Devin Kwok Gül Sena Altıntaş Colin Raffel David Rolnick 28 0 0 16 Jun 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning Juntae Lee Munawar Hayat Sungrack Yun CLL 21 0 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 44 0 0 29 May 2025
Asymmetric Duos: Sidekicks Improve Uncertainty Tim G. Zhou Evan Shelhamer Geoff Pleiss UQCV 58 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 107 1 0 13 Apr 2025
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks Rian Adam Rajagede M. Santriaji Muhammad Arya Fikriansyah Hilal Hudan Nuha Yanjie Fu Yan Solihin AAML 72 0 0 09 Apr 2025
Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection Shunsuke Sakai Shunsuke Tsuge Tatsuhito Hasegawa 44 0 0 08 Apr 2025
DyTTP: Trajectory Prediction with Normalization-Free Transformers Yunxiang Liu Hongkuo Niu 93 0 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 520 0 0 26 Mar 2025
Bezier Distillation Ling Feng SK Yang 55 0 0 20 Mar 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction Severin Heidrich Till Beemelmanns Alexey Nekrasov Bastian Leibe Lutz Eckstein 95 0 0 13 Mar 2025
Revisiting semi-supervised learning in the era of foundation models Ping Zhang Zheda Mai Quang-Huy Nguyen Wei-Lun Chao 108 1 0 12 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 51 0 0 07 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim Clara Meister Thomas Möllenhoff Iryna Gurevych 108 4 0 07 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 286 11 0 28 Feb 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 88 0 0 09 Feb 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets Xuyang Zhong Chen Liu DD 96 2 0 08 Jan 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation Michele De Vita Vasileios Belagiannis DiffM 153 1 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 296 1 0 25 Nov 2024
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems G. Nam Juho Lee 138 0 0 22 Nov 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 160 25 0 15 Oct 2024
Boosting Deep Ensembles with Learning Rate Tuning Hongpeng Jin Yanzhao Wu 71 0 0 10 Oct 2024
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time Chiao-An Yang Ziwei Liu Raymond A. Yeh 61 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 111 0 0 01 Oct 2024
Scalable Ensemble Diversification for OOD Generalization and Detection Alexander Rubinstein Luca Scimeca Damien Teney Seong Joon Oh BDL OOD 511 1 0 25 Sep 2024
Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network Sijia Du Chengfeng Zhou Suncheng Xiang Jianwei Xu Xiaobo Li MedIm MDE 65 0 0 23 Sep 2024
SnapE -- Training Snapshot Ensembles of Link Prediction Models Ali Shaban Heiko Paulheim VLM 81 1 0 05 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 72 1 0 05 Aug 2024
Network Fission Ensembles for Low-Cost Self-Ensembles Hojung Lee Jong-Seok Lee UQCV 179 2 0 05 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 133 63 0 01 Aug 2024
Deep Companion Learning: Enhancing Generalization Through Historical Consistency Ruizhao Zhu Venkatesh Saligrama FedML 87 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 104 8 0 18 Jul 2024
Multimodal Multilabel Classification by CLIP Yanming Guo VLM 42 0 0 23 Jun 2024
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling Yao-Ching Yu Chun-Chih Kuo Ziqi Ye Yu-Cheng Chang Yueh-Se Li 88 12 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 86 1 0 18 Jun 2024
Improving child speech recognition with augmented child-like speech Yuanyuan Zhang Zhengjun Yue T. Patel O. Scharenborg 76 7 0 12 Jun 2024
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm Daniel Yun FedML MoMe 60 1 0 07 Jun 2024
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation Wooseok Shin Hyun Joon Park Jin Sob Kim Sung Won Han VLM 96 8 0 31 May 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 59 7 0 29 May 2024
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere H. Li Ouyang Cheng Tamaz Amiranashvili Matthew S. Rosen Bjoern Menze J. Iglesias 100 0 0 26 May 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 127 3 0 23 May 2024
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks Xin-Chun Li Jinli Tang Bo Zhang Lan Li De-Chuan Zhan 93 2 0 21 May 2024
Green AI in Action: Strategic Model Selection for Ensembles in Production Nienke Nijkamp June Sallou Niels van der Heijden Luís Cruz 60 3 0 21 May 2024
Automated Deep Learning for Load Forecasting Julie Keisler Sandra Claudel Gilles Cabriel Margaux Brégère AI4TS 64 3 0 14 May 2024
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights Soyed Tuhin Ahmed Michael Hefenbrock M. Tahoori UQCV 69 1 0 07 May 2024
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion Markus Frey Sichu Liang Wentao Hu Matthias Nau Ju Jia Shilin Wang AAML 89 4 0 21 Apr 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models Nastaran Saadati Minh Pham Nasla Saleem Joshua R. Waite Aditya Balu Zhanhong Jiang Chinmay Hegde Soumik Sarkar MoMe 87 2 0 11 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? Rishabh Ranjan Saurabh Garg Mrigank Raman Carlos Guestrin Zachary Chase Lipton 78 0 0 11 Apr 2024
UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection Yingsen Zeng Yujie Zhong Chengjian Feng Lin Ma 108 9 0 07 Apr 2024
On the Learnability of Out-of-distribution Detection Zhen Fang Yixuan Li Feng Liu Bo Han Jie Lu 72 8 0 07 Apr 2024