Snapshot Ensembles: Train 1, get M for free

1 April 2017

Gao Huang

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

50 / 441 papers shown

Title
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 17 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 13 71 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 28 100 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 19 81 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 6 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 12 14 0 13 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 6 127 0 07 Jun 2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation Lavsen Dahal Aayush Kafle Bishesh Khanal UQCV 9 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 10 54 0 16 May 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 6 262 0 13 May 2020
Single Model Ensemble using Pseudo-Tags and Distinct Vectors Ryosuke Kuwabara Jun Suzuki Hideki Nakayama VLM 11 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 14 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 9 12 0 24 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Z. Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 28 31 0 20 Apr 2020
Detached Error Feedback for Distributed SGD with Random Sparsification An Xu Heng-Chiao Huang 31 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 23 89 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 6 250 0 05 Apr 2020
Probabilistic Pixel-Adaptive Refinement Networks Anne S. Wannenwetsch Stefan Roth 12 14 0 31 Mar 2020
SuperNet -- An efficient method of neural networks ensembling Ludwik Bukowski W. Dzwinel 6 2 0 29 Mar 2020
Sample Efficient Ensemble Learning with Catalyst.RL Sergey Kolesnikov Valentin Khrulkov 4 4 0 29 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Jun Yang Fei Wang 12 32 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 14 40 0 10 Mar 2020
Flexible numerical optimization with ensmallen Ryan R. Curtin Marcus Edel Rahul Prabhu S. Basak Zhihao Lou Conrad Sanderson 14 1 0 09 Mar 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz Jakob Verbeek UQCV BDL FedML 44 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 6 6 0 02 Mar 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 11 145 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 14 84 0 21 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 19 482 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 25 314 0 15 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Fei Chao Chih-Min Lin 59 33 0 08 Feb 2020
How Does BN Increase Collapsed Neural Network Filters? Sheng Zhou Xinjiang Wang Ping Luo Litong Feng Wenjie Li Wei Zhang 6 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 11 33 0 22 Jan 2020
SEERL: Sample Efficient Ensemble Reinforcement Learning Rohan Saphal Balaraman Ravindran Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 8 19 0 15 Jan 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 17 341 0 30 Dec 2019
Robustness of Brain Tumor Segmentation Sabine Müller Joachim Weickert N. Graf AAML OOD 20 5 0 24 Dec 2019
Automated speech-based screening of depression using deep convolutional neural networks K. Chlasta K. Wołk I. Krejtz 6 53 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 20 109 0 20 Nov 2019
E.T.-RNN: Applying Deep Learning to Credit Loan Applications Dmitrii Babaev M. Savchenko Alexander Tuzhilin Dmitrii Umerenkov 11 87 0 06 Nov 2019
Data Diversification: A Simple Strategy For Neural Machine Translation Xuan-Phi Nguyen Shafiq R. Joty Wu Kui A. Aw 12 15 0 05 Nov 2019
Ensembles of Locally Independent Prediction Models A. Ross Weiwei Pan L. A. Celi Finale Doshi-Velez 12 31 0 04 Nov 2019
Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles Dror Simon Miriam Farber Roman Goldenberg 13 4 0 30 Oct 2019
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan Kartik Gupta Philip H. S. Torr Richard I. Hartley P. Dokania MQ 14 23 0 18 Oct 2019
Loss Landscape Sightseeing with Multi-Point Optimization Ivan Skorokhodov Mikhail Burtsev 3DPC 15 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 21 29 0 28 Sep 2019
Decoder Choice Network for Meta-Learning Jialin Liu Fei Chao Longzhi Yang Chih-Min Lin Q. Shen 18 9 0 25 Sep 2019
Language learning using Speech to Image retrieval Danny Merkx S. Frank M. Ernestus 6 43 0 09 Sep 2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement Zhiqiang Shen Zhankui He Wanyun Cui Jiahui Yu Yutong Zheng Chenchen Zhu Marios Savvides AAML 17 5 0 22 Aug 2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu AAML 12 15 0 21 Aug 2019
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error Michel Moukari Loïc Simon Sylvaine Picard F. Jurie UQCV 13 4 0 20 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 22 22 0 19 Aug 2019