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 27 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 18 71 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 46 100 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 24 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 29 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 20 14 0 13 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 22 128 0 07 Jun 2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation Lavsen Dahal Aayush Kafle Bishesh Khanal UQCV 17 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 20 54 0 16 May 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 33 263 0 13 May 2020
Single Model Ensemble using Pseudo-Tags and Distinct Vectors Ryosuke Kuwabara Jun Suzuki Hideki Nakayama VLM 16 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 30 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 25 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 28 32 0 20 Apr 2020
Detached Error Feedback for Distributed SGD with Random Sparsification An Xu Heng-Chiao Huang 41 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 33 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 19 250 0 05 Apr 2020
Probabilistic Pixel-Adaptive Refinement Networks Anne S. Wannenwetsch Stefan Roth 28 14 0 31 Mar 2020
SuperNet -- An efficient method of neural networks ensembling Ludwik Bukowski W. Dzwinel 16 2 0 29 Mar 2020
Sample Efficient Ensemble Learning with Catalyst.RL Sergey Kolesnikov Valentin Khrulkov 20 4 0 29 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Jun Yang Fei Wang 20 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 27 40 0 10 Mar 2020
Flexible numerical optimization with ensmallen Ryan R. Curtin Marcus Edel Rahul Prabhu S. Basak Zhihao Lou Conrad Sanderson 18 1 0 09 Mar 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz Jakob Verbeek UQCV BDL FedML 52 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 8 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 22 145 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 27 84 0 21 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 32 483 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 38 314 0 15 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Rongrong Ji Chih-Min Lin 67 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 21 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 19 33 0 22 Jan 2020
SEERL: Sample Efficient Ensemble Reinforcement Learning Rohan Saphal Balaraman Ravindran Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 18 19 0 15 Jan 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 25 343 0 30 Dec 2019
Robustness of Brain Tumor Segmentation Sabine Müller Joachim Weickert N. Graf AAML OOD 28 5 0 24 Dec 2019
Automated speech-based screening of depression using deep convolutional neural networks K. Chlasta K. Wołk I. Krejtz 8 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 33 111 0 20 Nov 2019
E.T.-RNN: Applying Deep Learning to Credit Loan Applications Dmitrii Babaev M. Savchenko Alexander Tuzhilin Dmitrii Umerenkov 19 87 0 06 Nov 2019
Data Diversification: A Simple Strategy For Neural Machine Translation Xuan-Phi Nguyen Chenyu You Wu Kui Ai Ti Aw 17 15 0 05 Nov 2019
Ensembles of Locally Independent Prediction Models A. Ross Weiwei Pan Leo Anthony Celi Finale Doshi-Velez 17 31 0 04 Nov 2019
Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles Dror Simon Miriam Farber Roman Goldenberg 28 4 0 30 Oct 2019
Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan Kartik Gupta Philip Torr Richard I. Hartley P. Dokania MQ 22 23 0 18 Oct 2019
Loss Landscape Sightseeing with Multi-Point Optimization Ivan Skorokhodov Andrey Kravchenko 3DPC 21 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 23 30 0 28 Sep 2019
Decoder Choice Network for Meta-Learning Jialin Liu Rongrong Ji Longzhi Yang Chih-Min Lin Q. Shen 26 9 0 25 Sep 2019
Language learning using Speech to Image retrieval Danny Merkx S. Frank M. Ernestus 14 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 25 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 25 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 29 4 0 20 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 30 22 0 19 Aug 2019