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
Efficient Model Performance Estimation via Feature Histories Shengcao Cao Xiaofang Wang Kris Kitani 120 1 0 07 Mar 2021
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness Jacob D. Abernethy Pranjal Awasthi Satyen Kale AAML 61 6 0 01 Mar 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 108 88 0 20 Feb 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems Yiwei Bai Wenting Zhao Carla P. Gomes 64 1 0 05 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 210 76 0 03 Feb 2021
Grad-CAM guided channel-spatial attention module for fine-grained visual classification Shuai Xu Dongliang Chang Jiyang Xie Zhanyu Ma 65 25 0 24 Jan 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Zhuowen Tu Stefano Soatto 140 120 0 21 Jan 2021
A Survey on Ensemble Learning under the Era of Deep Learning Yongquan Yang Haijun Lv Ning Chen OOD 156 207 0 21 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 87 52 0 14 Jan 2021
Twin Neural Network Regression S. J. Wetzel Kevin Ryczko R. Melko Isaac Tamblyn UQCV 84 12 0 29 Dec 2020
Learning with Retrospection Xiang Deng Zhongfei Zhang 71 17 0 24 Dec 2020
Masksembles for Uncertainty Estimation Nikita Durasov Timur M. Bagautdinov Pierre Baqué Pascal Fua OOD UQCV 78 83 0 15 Dec 2020
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation R. A. Kamraoui Vinh-Thong Ta T. Tourdias Boris Mansencal J. V. Manjón Pierrick Coupé OOD 120 54 0 14 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 94 27 0 04 Dec 2020
A Variant of Gradient Descent Algorithm Based on Gradient Averaging Saugata Purkayastha Sukannya Purkayastha ODL 52 2 0 04 Dec 2020
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models Xiaofang Wang Dan Kondratyuk Eric Christiansen Kris Kitani Y. Alon Elad Eban 102 49 0 03 Dec 2020
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training Shuai Zhao Liguang Zhou Wenxiao Wang D. Cai Tin Lun Lam Yangsheng Xu 110 32 0 30 Nov 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 143 67 0 30 Nov 2020
Online Ensemble Model Compression using Knowledge Distillation Devesh Walawalkar Zhiqiang Shen Marios Savvides 62 51 0 15 Nov 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI Jörg Sander B. D. de Vos Ivana Išgum 104 50 0 13 Nov 2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models Lijing Wang Dipanjan Ghosh Maria Teresa Gonzalez Diaz Ahmed K. Farahat M. Alam Chetan Gupta Jiangzhuo Chen Madhav Marathe 43 10 0 13 Nov 2020
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 151 11 0 10 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 69 17 0 05 Nov 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 70 10 0 24 Oct 2020
Decentralized Deep Learning using Momentum-Accelerated Consensus Aditya Balu Zhanhong Jiang Sin Yong Tan Chinmay Hedge Young M. Lee Soumik Sarkar FedML 97 22 0 21 Oct 2020
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 139 64 0 19 Oct 2020
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild Estèphe Arnaud Arnaud Dapogny Kévin Bailly CVBM 69 26 0 15 Oct 2020
CC-Loss: Channel Correlation Loss For Image Classification Zeyu Song Dongliang Chang Zhanyu Ma Xiaoxu Li Zheng-Hua Tan 51 8 0 12 Oct 2020
Improved Analysis of Clipping Algorithms for Non-convex Optimization Bohang Zhang Jikai Jin Cong Fang Liwei Wang 129 92 0 05 Oct 2020
End-to-End Training of CNN Ensembles for Person Re-Identification Ayse Serbetci Y. S. Akgul 48 23 0 03 Oct 2020
Neural Model-based Optimization with Right-Censored Observations Katharina Eggensperger Kai Haase Philip Muller Marius Lindauer Frank Hutter 85 9 0 29 Sep 2020
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays N. K. Chowdhury M. A. Kabir Md. Muhtadir Rahman Noortaz Rezoana 64 58 0 24 Sep 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 73 11 0 21 Sep 2020
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 71 29 0 14 Sep 2020
Deforming the Loss Surface to Affect the Behaviour of the Optimizer Liangming Chen Long Jin Xiujuan Du Shuai Li Mei Liu ODL 35 2 0 14 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 101 262 0 04 Sep 2020
Robust, Accurate Stochastic Optimization for Variational Inference Akash Kumar Dhaka Alejandro Catalina Michael Riis Andersen Maans Magnusson Jonathan H. Huggins Aki Vehtari 71 34 0 01 Sep 2020
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems Zhe Chen Yuyan Wang Dong Lin D. Cheng Lichan Hong Ed H. Chi Claire Cui 100 17 0 17 Aug 2020
Deep Networks with Fast Retraining Wandong Zhang Yimin Yang Q. M. J. Wu AI4CE 28 2 0 13 Aug 2020
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition K. Lai Svetlana Yanushkevich SLR 57 9 0 13 Aug 2020
Low-loss connection of weight vectors: distribution-based approaches Ivan Anokhin Dmitry Yarotsky 3DV 114 4 0 03 Aug 2020
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation Yichen Shen Zhilu Zhang M. Sabuncu Lin Sun UQCV 93 3 0 31 Jul 2020
Neural networks with late-phase weights J. Oswald Seijin Kobayashi Alexander Meulemans Christian Henning Benjamin Grewe João Sacramento 94 35 0 25 Jul 2020
Rethinking CNN Models for Audio Classification Kamalesh Palanisamy Dipika Singhania Angela Yao SSL 90 147 0 22 Jul 2020
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction Alice Martin Charles Ollion Florian Strub Sylvain Le Corff Olivier Pietquin 55 6 0 15 Jul 2020
Single-partition adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto OffRL 65 2 0 14 Jul 2020
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI Yingshui Tan Baihong Jin Xiangyu Yue Yuxin Chen Alberto L. Sangiovanni-Vincentelli 59 7 0 12 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 82 27 0 05 Jul 2020
Confidence-Aware Learning for Deep Neural Networks J. Moon Jihyo Kim Younghak Shin Sangheum Hwang UQCV 111 150 0 03 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 198 645 0 01 Jul 2020