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
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation Yidan Hu Yong-jin Liu C. Miao Gongqi Lin Yuan Miao 11 1 0 20 Oct 2021
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Centroid Approximation for Bootstrap: Improving Particle Quality at Inference Mao Ye Qiang Liu 8 1 0 17 Oct 2021
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Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 9 1 0 07 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 34 48 0 06 Oct 2021
Boost Neural Networks by Checkpoints Feng Wang Gu-Yeon Wei Qiao Liu Jinxiang Ou Xian Wei Hairong Lv FedML UQCV 14 10 0 03 Oct 2021
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation Gwangbin Bae Ignas Budvytis R. Cipolla 24 113 0 20 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 14 18 0 16 Sep 2021
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Neural Ensemble Search via Bayesian Sampling Yao Shu Yizhou Chen Zhongxiang Dai Bryan Kian Hsiang Low BDL 11 8 0 06 Sep 2021
MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images S. Pawan Rahul Sankar A. Prabhudev P. Mahesh K. Prakashini S. Das Jeny Rajan 21 3 0 19 Aug 2021
Pattern Recognition in Vital Signs Using Spectrograms Sidharth Srivatsav Sribhashyam Md Sirajus Salekin Dmitry Goldgof Ghada Zamzmi Mark Last Yu Sun 15 2 0 05 Aug 2021
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms Zhe Huang Gary Long B. Wessler M. C. Hughes 19 24 0 30 Jul 2021
SA-GD: Improved Gradient Descent Learning Strategy with Simulated Annealing Zhicheng Cai 10 4 0 15 Jul 2021
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks Yufeng Xia Jun Zhang Zhiqiang Gong Tingsong Jiang W. Yao UQCV 6 1 0 15 Jul 2021
Multi-headed Neural Ensemble Search Ashwin Raaghav Narayanan Arber Zela Tonmoy Saikia Thomas Brox Frank Hutter UQCV 21 4 0 09 Jul 2021
Mitigating Memorization in Sample Selection for Learning with Noisy Labels Kyeongbo Kong Junggi Lee Youngchul Kwak Young-Rae Cho Seong-Eun Kim Woo‐Jin Song NoLa 11 0 0 08 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,109 0 07 Jul 2021
What can linear interpolation of neural network loss landscapes tell us? Tiffany J. Vlaar Jonathan Frankle MoMe 22 27 0 30 Jun 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang D. Mocanu OOD 25 49 0 28 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization Chunwei Ma Ziyun Huang Jiayi Xian Mingchen Gao Jinhui Xu UQCV 17 14 0 25 Jun 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 41 93 0 22 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets Arlind Kadra Marius Lindauer Frank Hutter Josif Grabocka 13 185 0 21 Jun 2021
On Stein Variational Neural Network Ensembles Francesco DÁngelo Vincent Fortuin F. Wenzel UQCV BDL 31 25 0 20 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 30 11 0 14 Jun 2021
Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification Yusuf Brima Mossadek Hossain Kamal Tushar Upama Kabir Tariqul Islam MedIm 20 5 0 14 Jun 2021
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction Yi Lin Yanfei Liu Hao-tao Chen Xin Yang Kai Ma Yefeng Zheng Kwang-Ting Cheng 3DV 24 4 0 12 Jun 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation Yu Bai Song Mei Huan Wang Caiming Xiong UQCV 13 12 0 10 Jun 2021
Greedy Bayesian Posterior Approximation with Deep Ensembles A. Tiulpin Matthew B. Blaschko UQCV FedML 31 4 0 29 May 2021
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider A. Stakia T. Dorigo G. Banelli D. Bortoletto A. Casa ... G. Strong C. Tosciri J. Varela Pietro Vischia A. Weiler 15 3 0 16 May 2021
Troubleshooting Blind Image Quality Models in the Wild Zhihua Wang Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma 13 19 0 14 May 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective Shahbaz Rezaei Zubair Shafiq Xin Liu FedML MIACV 22 13 0 12 May 2021
Adaptive Focus for Efficient Video Recognition Yulin Wang Zhaoxi Chen Haojun Jiang Shiji Song Yizeng Han Gao Huang 37 98 0 07 May 2021
Network Pruning That Matters: A Case Study on Retraining Variants Duong H. Le Binh-Son Hua 14 41 0 07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods Jary Pomponi Simone Scardapane A. Uncini UQCV 41 7 0 06 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 63 17 0 23 Apr 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering Dongsheng Li Haodong Liu Chao Chen Yingying Zhao Stephen M. Chu Bo Yang FedML 31 5 0 15 Apr 2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking Minghao Chen Houwen Peng Jianlong Fu Haibin Ling 13 19 0 01 Apr 2021
A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios Xudong Chen Shugong Xu Qiaobin Ji Shan Cao AAML CVBM 13 8 0 29 Mar 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J. Taylor UQCV BDL 17 31 0 29 Mar 2021
Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks Logan Jaeger A. Butterworth Z. Gainsforth R. Lettieri A. Ardizzone ... P. Wozniakiewicz R. Ogliore B. D. Gregorio R. Stroud A. Westphal 11 1 0 15 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks Alexandre Ramé Rémy Sun Matthieu Cord UQCV 35 60 0 10 Mar 2021
Nondeterminism and Instability in Neural Network Optimization Cecilia Summers M. Dinneen 14 38 0 08 Mar 2021
Efficient Model Performance Estimation via Feature Histories Shengcao Cao Xiaofang Wang Kris M. Kitani 4 1 0 07 Mar 2021
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness Jacob D. Abernethy Pranjal Awasthi Satyen Kale AAML 13 6 0 01 Mar 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 16 85 0 20 Feb 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems Yiwei Bai Wenting Zhao Carla P. Gomes 8 0 0 05 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 148 74 0 03 Feb 2021