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
Language learning using Speech to Image retrieval Danny Merkx S. Frank M. Ernestus 57 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 36 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 56 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 57 4 0 20 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 65 22 0 19 Aug 2019
Concepts and Applications of Conformal Prediction in Computational Drug Discovery I. Cortés-Ciriano A. Bender 257 43 0 09 Aug 2019
How Does Learning Rate Decay Help Modern Neural Networks? Kaichao You Mingsheng Long Jianmin Wang Michael I. Jordan 72 4 0 05 Aug 2019
Sound source detection, localization and classification using consecutive ensemble of CRNN models Slawomir Kapka M. Lewandowski 122 66 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 122 57 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 42 0 0 01 Jul 2019
Random Vector Functional Link Neural Network based Ensemble Deep Learning Rakesh Katuwal Ponnuthurai Nagaratnam Suganthan M. Tanveer 51 161 0 30 Jun 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks Adam Byerly T. Kalganova 65 13 0 20 Jun 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation Erik Englesson Hossein Azizpour UQCV 74 9 0 12 Jun 2019
Large Scale Structure of Neural Network Loss Landscapes Stanislav Fort Stanislaw Jastrzebski 74 84 0 11 Jun 2019
Training Data Subset Search with Ensemble Active Learning Kashyap Chitta J. Álvarez Elmar Haussmann C. Farabet 87 13 0 29 May 2019
Augmenting correlation structures in spatial data using deep generative models Konstantin Klemmer Adriano Soares Koshiyama Sebastian Flennerhag 129 21 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 76 8 0 23 May 2019
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints Mengtian Li Ersin Yumer Deva Ramanan 72 49 0 12 May 2019
Learning Representations for Predicting Future Activities Mohammadreza Zolfaghari Özgün Çiçek S. M. Ali F. Mahdisoltani Can Zhang Thomas Brox AI4TS 47 6 0 09 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 170 128 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 87 37 0 08 Apr 2019
Learning semantic sentence representations from visually grounded language without lexical knowledge Danny Merkx S. Frank SSL 28 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 85 368 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 60 47 0 11 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 71 49 0 04 Mar 2019
Alternating Synthetic and Real Gradients for Neural Language Modeling Fangxin Shang Hao Zhang 44 1 0 27 Feb 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 91 278 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 55 42 0 07 Feb 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima Haowei He Gao Huang Yang Yuan ODL MLT 110 150 0 02 Feb 2019
ECG Segmentation by Neural Networks: Errors and Correction Iana Sereda Sergey Alekseev A. Koneva R. Kataev Grigory V. Osipov UQCV 61 27 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 82 21 0 23 Dec 2018
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth Jacob Whitehill Anand Ramakrishnan 59 1 0 19 Dec 2018
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Leonid Sigal Philip Torr MQ 89 20 0 11 Dec 2018
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 56 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 154 138 0 09 Dec 2018
MEAL: Multi-Model Ensemble via Adversarial Learning Zhiqiang Shen Zhankui He Xiangyang Xue AAML FedML 88 147 0 06 Dec 2018
Cerebrovascular Network Segmentation on MRA Images with Deep Learning Pedro Sanches C. Meyer Vincent Vigon B. Naegel 74 52 0 04 Dec 2018
Parameter Re-Initialization through Cyclical Batch Size Schedules Norman Mu Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 70 8 0 04 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang Lingxi Xie Chi Su Alan Yuille 84 193 0 01 Dec 2018
Generalized Coarse-to-Fine Visual Recognition with Progressive Training Xutong Ren Lingxi Xie Chen Wei Siyuan Qiao Chi Su Jiaying Liu Qi Tian Elliot K. Fishman Alan Yuille ObjD 54 0 0 29 Nov 2018
Regularizing by the Variance of the Activations' Sample-Variances Etai Littwin Lior Wolf VLM 59 12 0 21 Nov 2018
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks Qian Wang Ning Jia T. Breckon UQCV 85 10 0 20 Nov 2018
Self-Referenced Deep Learning Xu Lan Xiatian Zhu S. Gong 130 24 0 19 Nov 2018
Sharpen Focus: Learning with Attention Separability and Consistency Lezi Wang Ziyan Wu Srikrishna Karanam Kuan-Chuan Peng Rajat Vikram Singh Bo Liu Dimitris N. Metaxas 100 36 0 19 Nov 2018
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation Akhilesh Deepak Gotmare N. Keskar Caiming Xiong R. Socher ODL 124 277 0 29 Oct 2018
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Jörg Sander B. D. de Vos J. Wolterink Ivana Išgum 55 59 0 27 Sep 2018
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks I. Cortés-Ciriano A. Bender OOD UQCV 67 61 0 24 Sep 2018
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation István Sárándi Timm Linder Kai O. Arras Bastian Leibe 3DH 68 41 0 13 Sep 2018
MotherNets: Rapid Deep Ensemble Learning Abdul Wasay Brian Hentschel Yuze Liao Sanyuan Chen Stratos Idreos 58 35 0 12 Sep 2018
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning Jinchao Liu S. Gibson Margarita Osadchy 54 8 0 22 Aug 2018