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

Title
Robust, Accurate Stochastic Optimization for Variational InferenceNeural Information Processing Systems (NeurIPS), 2020 Akash Kumar Dhaka Alejandro Catalina Michael Riis Andersen Maans Magnusson Jonathan H. Huggins Aki Vehtari 173 35 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 292 17 0 17 Aug 2020
Deep Networks with Fast Retraining Tianlei Wang Yimin Yang Q. M. J. Wu AI4CE 96 2 0 13 Aug 2020
An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture RecognitionIEEE International Joint Conference on Neural Network (IJCNN), 2020 K. Lai Svetlana Yanushkevich SLR 149 10 0 13 Aug 2020
Low-loss connection of weight vectors: distribution-based approaches Ivan Anokhin Dmitry Yarotsky 3DV 170 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 194 3 0 31 Jul 2020
Neural networks with late-phase weightsInternational Conference on Learning Representations (ICLR), 2020 J. Oswald Seijin Kobayashi Alexander Meulemans Christian Henning Benjamin Grewe João Sacramento 272 38 0 25 Jul 2020
Rethinking CNN Models for Audio Classification Kamalesh Palanisamy Dipika Singhania Angela Yao SSL 193 167 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 163 7 0 15 Jul 2020
Single-partition adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto OffRL 136 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 128 6 0 12 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 246 29 0 05 Jul 2020
Confidence-Aware Learning for Deep Neural Networks J. Moon Jihyo Kim Younghak Shin Sangheum Hwang UQCV 378 167 0 03 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 329 722 0 01 Jul 2020
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification Shengjie Liu Haowen Luo Q. Shi 94 27 0 29 Jun 2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification Xiaoxu Li Liyun Yu Xiaochen Yang Zhanyu Ma Jing-Hao Xue Jie Cao Jun Guo 144 17 0 27 Jun 2020
Parametric Instance Classification for Unsupervised Visual Feature Learning Yue Cao Zhenda Xie B. Liu Yutong Lin Zheng Zhang Han Hu VLM 166 62 0 25 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationNeural Information Processing Systems (NeurIPS), 2020 F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 477 234 0 24 Jun 2020
Collective Learning by Ensembles of Altruistic Diversifying Neural Networks Benjamin Brazowski E. Schneidman FedML 109 5 0 20 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 80 7 0 20 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Katharina Eggensperger Yee Whye Teh OOD UQCV 262 85 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 345 113 0 15 Jun 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu Mathieu Salzmann Tao Lin Ryota Tomioka Sabine Süsstrunk AAML 304 90 0 15 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network models of visual cortexNeural Information Processing Systems (NeurIPS), 2020 Benjamin R. Cowley Jonathan W. Pillow 127 11 0 13 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation Zhiyun Lu Eugene Ie Fei Sha UQCV BDL 188 16 0 13 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 160 141 0 07 Jun 2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation Lavsen Dahal Aayush Kafle Bishesh Khanal UQCV 123 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 173 59 0 16 May 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 230 299 0 13 May 2020
Single Model Ensemble using Pseudo-Tags and Distinct VectorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Ryosuke Kuwabara Jun Suzuki Hideki Nakayama VLM 103 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 151 29 0 24 Apr 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph ScreeningAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020 A. Chakravarty Tandra Sarkar N. Ghosh Ramanathan Sethuraman Debdoot Sheet 117 15 0 24 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax LayerIEEE Transactions on Image Processing (TIP), 2020 Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 208 39 0 20 Apr 2020
Detached Error Feedback for Distributed SGD with Random SparsificationInternational Conference on Machine Learning (ICML), 2020 An Xu Heng-Chiao Huang 235 12 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 203 88 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 206 261 0 05 Apr 2020
Probabilistic Pixel-Adaptive Refinement NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Anne S. Wannenwetsch Stefan Roth 166 18 0 31 Mar 2020
SuperNet -- An efficient method of neural networks ensembling Ludwik Bukowski W. Dzwinel 66 2 0 29 Mar 2020
Sample Efficient Ensemble Learning with Catalyst.RL Sergey Kolesnikov Valentin Khrulkov 112 4 0 29 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model EnsemblingIEEE Access (IEEE Access), 2020 Jun Yang Fei Wang 204 39 0 25 Mar 2020
Diversity inducing Information Bottleneck in Model EnsemblesAAAI Conference on Artificial Intelligence (AAAI), 2020 Samarth Sinha Homanga Bharadhwaj Anirudh Goyal Hugo Larochelle Animesh Garg Florian Shkurti BDL UQCV 223 42 0 10 Mar 2020
Flexible numerical optimization with ensmallen Ryan R. Curtin Marcus Edel Rahul Prabhu S. Basak Zhihao Lou Conrad Sanderson 160 1 0 09 Mar 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz Jakob Verbeek UQCV BDL FedML 176 7 0 03 Mar 2020
Long Short-Term Sample DistillationAAAI Conference on Artificial Intelligence (AAAI), 2020 Liang Jiang Zujie Wen Zhongping Liang Yafang Wang Gerard de Melo Zhe Li Liangzhuang Ma Jiaxing Zhang Xiaolong Li Yuan Qi 63 7 0 02 Mar 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud ClassificationComputer Vision and Pattern Recognition (CVPR), 2020 Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 188 172 0 25 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time AugmentationConference on Uncertainty in Artificial Intelligence (UAI), 2020 Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 218 97 0 21 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningInternational Conference on Learning Representations (ICLR), 2020 Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 423 535 0 17 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep LearningInternational Conference on Learning Representations (ICLR), 2020 Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 487 342 0 15 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Jiayi Ji Chih-Min Lin 156 37 0 08 Feb 2020
How Does BN Increase Collapsed Neural Network Filters? Sheng Zhou Xinjiang Wang Ping Luo Xue Jiang Wenjie Li Wei Zhang 147 1 0 30 Jan 2020