Snapshot Ensembles: Train 1, get M for free

1 April 2017

Gao Huang

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

50 / 458 papers shown

Title
SEERL: Sample Efficient Ensemble Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2019 Rohan Saphal Balaraman Ravindran Dheevatsa Mudigere Sasikanth Avancha Bharat Kaul 161 20 0 15 Jan 2020
Pareto Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2019 Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 189 398 0 30 Dec 2019
Robustness of Brain Tumor SegmentationJournal of Medical Imaging (JMI), 2019 Sabine Müller Joachim Weickert N. Graf AAML OOD 140 7 0 24 Dec 2019
Automated speech-based screening of depression using deep convolutional neural networks K. Chlasta K. Wołk I. Krejtz 75 64 0 02 Dec 2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI SegmentationNeuroImage (NeuroImage), 2019 Pierrick Coupé Boris Mansencal Michael Clement Rémi Giraud B. D. D. Senneville T. Thong Vincent Lepetit J. V. Manjón 285 155 0 20 Nov 2019
E.T.-RNN: Applying Deep Learning to Credit Loan ApplicationsKnowledge Discovery and Data Mining (KDD), 2019 Dmitrii Babaev M. Savchenko Alexander Tuzhilin Dmitrii Umerenkov 166 94 0 06 Nov 2019
Data Diversification: A Simple Strategy For Neural Machine Translation Xuan-Phi Nguyen Shafiq Joty Wu Kui Ai Ti Aw 348 16 0 05 Nov 2019
Ensembles of Locally Independent Prediction ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019 A. Ross Weiwei Pan Leo Anthony Celi Finale Doshi-Velez 331 33 0 04 Nov 2019
Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles Dror Simon Miriam Farber Roman Goldenberg 93 4 0 30 Oct 2019
Mirror Descent View for Neural Network QuantizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Thalaiyasingam Ajanthan Kartik Gupta Juil Sock Leonid Sigal P. Dokania MQ 206 27 0 18 Oct 2019
Loss Patterns of Neural Networks Ivan Skorokhodov Andrey Kravchenko 3DPC 163 18 0 09 Oct 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a SurrogateAAAI Conference on Artificial Intelligence (AAAI), 2019 Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 147 34 0 28 Sep 2019
Decoder Choice Network for Meta-LearningIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019 Jialin Liu Jiayi Ji Longzhi Yang Chih-Min Lin Q. Shen 104 9 0 25 Sep 2019
Language learning using Speech to Image retrievalInterspeech (Interspeech), 2019 Danny Merkx S. Frank M. Ernestus 112 45 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 104 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 143 17 0 21 Aug 2019
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True ErrorIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019 Michel Moukari Loïc Simon Sylvaine Picard F. Jurie UQCV 121 4 0 20 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture ModelsIEEE International Conference on Computer Vision (ICCV), 2019 Adria Ruiz Jakob Verbeek VLM 169 22 0 19 Aug 2019
Concepts and Applications of Conformal Prediction in Computational Drug Discovery I. Cortés-Ciriano A. Bender 306 45 0 09 Aug 2019
How Does Learning Rate Decay Help Modern Neural Networks? Kaichao You Mingsheng Long Jianmin Wang Sai Li 132 6 0 05 Aug 2019
Sound source detection, localization and classification using consecutive ensemble of CRNN modelsWorkshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2019 Slawomir Kapka M. Lewandowski 209 72 0 02 Aug 2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks Aimon Rahman H. Zunair Mohammad Sohel Rahman Jesia Quader Yuki S. Biswas Md. Ashraful Alam N. Alam M. Mahdy 175 63 0 23 Jul 2019
Classification of Macromolecule Type Based on Sequences of Amino Acids Using Deep Learning Sarwar Khan F. Ghaffar Imad Ali Qazi Mazhar 121 0 0 01 Jul 2019
Random Vector Functional Link Neural Network based Ensemble Deep LearningPattern Recognition (Pattern Recognit.), 2019 Rakesh Katuwal Ponnuthurai Nagaratnam Suganthan M. Tanveer 150 189 0 30 Jun 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural NetworksIEEE Access (IEEE Access), 2019 Adam Byerly T. Kalganova 190 14 0 20 Jun 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved DistillationInternational Conference on Machine Learning (ICML), 2019 Erik Englesson Hossein Azizpour UQCV 161 9 0 12 Jun 2019
Large Scale Structure of Neural Network Loss LandscapesNeural Information Processing Systems (NeurIPS), 2019 Stanislav Fort Stanislaw Jastrzebski 191 93 0 11 Jun 2019
Training Data Subset Search with Ensemble Active Learning Kashyap Chitta J. Álvarez Elmar Haussmann C. Farabet 179 13 0 29 May 2019
Augmenting correlation structures in spatial data using deep generative models Konstantin Klemmer Adriano Soares Koshiyama Sebastian Flennerhag 224 24 0 23 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 153 8 0 23 May 2019
Budgeted Training: Rethinking Deep Neural Network Training Under Resource ConstraintsInternational Conference on Learning Representations (ICLR), 2019 Mengtian Li Ersin Yumer Deva Ramanan 229 52 0 12 May 2019
Learning Representations for Predicting Future Activities Mohammadreza Zolfaghari Özgün Çiçek S. M. Ali F. Mahdisoltani Can Zhang Thomas Brox AI4TS 155 6 0 09 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 306 134 0 17 Apr 2019
$$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features$ $\mathcal{G}$ -softmax: Improving Intra-class Compactness and Inter-class Separability of Features Yan Luo Yongkang Wong Mohan Kankanhalli Qi Zhao 181 41 0 08 Apr 2019
Learning semantic sentence representations from visually grounded language without lexical knowledge Danny Merkx S. Frank SSL 91 13 0 27 Mar 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing Hao Fu Chunyuan Li Xiaodong Liu Jianfeng Gao Asli Celikyilmaz Lawrence Carin ODL 226 408 0 25 Mar 2019
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs Saeed Masoudnia Omid Mersa Babak N. Araabi A. Vahabie M. Sadeghi M. N. Ahmadabadi 129 50 0 11 Mar 2019
Complement Objective TrainingInternational Conference on Learning Representations (ICLR), 2019 Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 170 53 0 04 Mar 2019
Alternating Synthetic and Real Gradients for Neural Language Modeling Fangxin Shang Hao Zhang 148 1 0 27 Feb 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep LearningInternational Conference on Learning Representations (ICLR), 2019 Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 227 290 0 11 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 108 48 0 07 Feb 2019
Asymmetric Valleys: Beyond Sharp and Flat Local MinimaNeural Information Processing Systems (NeurIPS), 2019 Haowei He Gao Huang Yang Yuan ODL MLT 224 157 0 02 Feb 2019
ECG Segmentation by Neural Networks: Errors and Correction Iana Sereda Sergey Alekseev A. Koneva R. Kataev Grigory V. Osipov UQCV 82 31 0 26 Dec 2018
AVRA: Automatic Visual Ratings of Atrophy from MRI images using Recurrent Convolutional Neural Networks G. Mårtensson D. Ferreira L. Cavallin J.-Sebastian Muehlboeck L. Wahlund Chunliang Wang E. Westman 225 22 0 23 Dec 2018
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth Jacob Whitehill Anand Ramakrishnan 94 1 0 19 Dec 2018
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Leonid Sigal Juil Sock MQ 233 21 0 11 Dec 2018
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 93 3 0 11 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 291 151 0 09 Dec 2018
MEAL: Multi-Model Ensemble via Adversarial Learning Zhiqiang Shen Zhankui He Xiangyang Xue AAML FedML 271 156 0 06 Dec 2018
Cerebrovascular Network Segmentation on MRA Images with Deep Learning Pedro Sanches C. Meyer Vincent Vigon B. Naegel 132 58 0 04 Dec 2018