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
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification Shengjie Liu Haowen Luo Q. Shi 23 21 0 29 Jun 2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification Xiaoxu Li Liyun Yu Xiaochen Yang Zhanyu Ma Jing-Hao Xue Jie Cao Jun Guo 88 16 0 27 Jun 2020
Parametric Instance Classification for Unsupervised Visual Feature Learning Yue Cao Zhenda Xie B. Liu Yutong Lin Zheng Zhang Han Hu VLM 73 61 0 25 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 126 212 0 24 Jun 2020
Collective Learning by Ensembles of Altruistic Diversifying Neural Networks Benjamin Brazowski E. Schneidman FedML 45 4 0 20 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 54 7 0 20 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Frank Hutter Yee Whye Teh OOD UQCV 130 75 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 122 103 0 15 Jun 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao R. Lin Ryota Tomioka Sabine Süsstrunk AAML 136 82 0 15 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex Benjamin R. Cowley Jonathan W. Pillow 46 10 0 13 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation Zhiyun Lu Eugene Ie Fei Sha UQCV BDL 68 14 0 13 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 76 133 0 07 Jun 2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation Lavsen Dahal Aayush Kafle Bishesh Khanal UQCV 64 10 0 19 May 2020
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset C. Qiu Xiaochong Tong M. Schmitt B. Bechtel Xiaoxiang Zhu 82 54 0 16 May 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 120 266 0 13 May 2020
Single Model Ensemble using Pseudo-Tags and Distinct Vectors Ryosuke Kuwabara Jun Suzuki Hideki Nakayama VLM 31 3 0 02 May 2020
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing Qing Yang Xia Zhu Jong-Kae Fwu Yun Ye Ganmei You Yuan Zhu CVBM 59 26 0 24 Apr 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening A. Chakravarty Tandra Sarkar N. Ghosh Ramanathan Sethuraman Debdoot Sheet 44 12 0 24 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 104 32 0 20 Apr 2020
Detached Error Feedback for Distributed SGD with Random Sparsification An Xu Heng-Chiao Huang 71 9 0 11 Apr 2020
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images Md. Rezaul Karim Till Dohmen Dietrich-Rebholz Schuhmann Stefan Decker Michael Cochez Oya Beyan 80 88 0 09 Apr 2020
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset Lawrence Hall Rahul Paul Dmitry Goldgof Gregory M. Goldgof 83 251 0 05 Apr 2020
Probabilistic Pixel-Adaptive Refinement Networks Anne S. Wannenwetsch Stefan Roth 58 14 0 31 Mar 2020
SuperNet -- An efficient method of neural networks ensembling Ludwik Bukowski W. Dzwinel 21 2 0 29 Mar 2020
Sample Efficient Ensemble Learning with Catalyst.RL Sergey Kolesnikov Valentin Khrulkov 32 4 0 29 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Jun Yang Fei Wang 35 34 0 25 Mar 2020
Diversity inducing Information Bottleneck in Model Ensembles Samarth Sinha Homanga Bharadhwaj Anirudh Goyal Hugo Larochelle Animesh Garg Florian Shkurti BDL UQCV 69 40 0 10 Mar 2020
Flexible numerical optimization with ensmallen Ryan R. Curtin Marcus Edel Rahul Prabhu S. Basak Zhihao Lou Conrad Sanderson 80 1 0 09 Mar 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz Jakob Verbeek UQCV BDL FedML 84 6 0 03 Mar 2020
Long Short-Term Sample Distillation Liang Jiang Zujie Wen Zhongping Liang Yafang Wang Gerard de Melo Zhe Li Liangzhuang Ma Jiaxing Zhang Xiaolong Li Yuan Qi 27 7 0 02 Mar 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 93 149 0 25 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 117 86 0 21 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 232 494 0 17 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 121 321 0 15 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Yong Li Chih-Min Lin 119 33 0 08 Feb 2020
How Does BN Increase Collapsed Neural Network Filters? Sheng Zhou Xinjiang Wang Ping Luo Xue Jiang Wenjie Li Wei Zhang 47 1 0 30 Jan 2020
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation N. Brosse C. Riquelme Alice Martin Sylvain Gelly Eric Moulines BDL OOD UQCV 97 34 0 22 Jan 2020
SEERL: Sample Efficient Ensemble Reinforcement Learning Rohan Saphal Balaraman Ravindran Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 65 19 0 15 Jan 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 100 354 0 30 Dec 2019
Robustness of Brain Tumor Segmentation Sabine Müller Joachim Weickert N. Graf AAML OOD 64 5 0 24 Dec 2019
Automated speech-based screening of depression using deep convolutional neural networks K. Chlasta K. Wołk I. Krejtz 28 55 0 02 Dec 2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation Pierrick Coupé Boris Mansencal Michael Clement Rémi Giraud B. D. D. Senneville T. Thong Vincent Lepetit J. V. Manjón 137 119 0 20 Nov 2019
E.T.-RNN: Applying Deep Learning to Credit Loan Applications Dmitrii Babaev M. Savchenko Alexander Tuzhilin Dmitrii Umerenkov 79 88 0 06 Nov 2019
Data Diversification: A Simple Strategy For Neural Machine Translation Xuan-Phi Nguyen Shafiq Joty Wu Kui Ai Ti Aw 117 15 0 05 Nov 2019
Ensembles of Locally Independent Prediction Models A. Ross Weiwei Pan Leo Anthony Celi Finale Doshi-Velez 109 32 0 04 Nov 2019
Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles Dror Simon Miriam Farber Roman Goldenberg 37 4 0 30 Oct 2019
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan Kartik Gupta Philip Torr Leonid Sigal P. Dokania MQ 79 25 0 18 Oct 2019
Loss Landscape Sightseeing with Multi-Point Optimization Ivan Skorokhodov Andrey Kravchenko 3DPC 62 18 0 09 Oct 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 62 32 0 28 Sep 2019
Decoder Choice Network for Meta-Learning Jialin Liu Yong Li Longzhi Yang Chih-Min Lin Q. Shen 31 9 0 25 Sep 2019