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1704.00109
Cited By
Snapshot Ensembles: Train 1, get M for free
1 April 2017
Gao Huang
Shouqing Yang
Geoff Pleiss
Zhuang Liu
John E. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
Re-assign community
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Papers citing
"Snapshot Ensembles: Train 1, get M for free"
50 / 461 papers shown
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354
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Robust, Accurate Stochastic Optimization for Variational Inference
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Alejandro Catalina
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Aki Vehtari
185
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Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
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Yuyan Wang
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Ed H. Chi
Claire Cui
296
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Deep Networks with Fast Retraining
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Yimin Yang
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104
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K. Lai
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173
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Dmitry Yarotsky
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189
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Zhilu Zhang
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200
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0
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Neural networks with late-phase weights
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Seijin Kobayashi
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296
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0
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221
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Charles Ollion
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180
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Single-partition adaptive Q-learning
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Mário A. T. Figueiredo
M. Botto
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149
2
0
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Baihong Jin
Xiangyu Yue
Yuxin Chen
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130
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270
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Jihyo Kim
Younghak Shin
Sangheum Hwang
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391
170
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José Jiménez-Luna
F. Grisoni
G. Schneider
372
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Shengjie Liu
Haowen Luo
Q. Shi
95
28
0
29 Jun 2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
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Liyun Yu
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
Jie Cao
Jun Guo
166
17
0
27 Jun 2020
Parametric Instance Classification for Unsupervised Visual Feature Learning
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Zhenda Xie
B. Liu
Yutong Lin
Zheng Zhang
Han Hu
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170
62
0
25 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Neural Information Processing Systems (NeurIPS), 2020
F. Wenzel
Jasper Snoek
Dustin Tran
Rodolphe Jenatton
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518
236
0
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Collective Learning by Ensembles of Altruistic Diversifying Neural Networks
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E. Schneidman
FedML
114
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
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96
7
0
20 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
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Arber Zela
T. Elsken
Chris Holmes
Katharina Eggensperger
Yee Whye Teh
OOD
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291
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0
15 Jun 2020
Depth Uncertainty in Neural Networks
Javier Antorán
J. Allingham
José Miguel Hernández-Lobato
UQCV
OOD
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406
113
0
15 Jun 2020
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Chen Liu
Mathieu Salzmann
Tao Lin
Ryota Tomioka
Sabine Süsstrunk
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334
92
0
15 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex
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Benjamin R. Cowley
Jonathan W. Pillow
135
11
0
13 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation
Zhiyun Lu
Eugene Ie
Fei Sha
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220
16
0
13 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation
Guile Wu
S. Gong
FedML
173
145
0
07 Jun 2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation
Lavsen Dahal
Aayush Kafle
Bishesh Khanal
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138
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
190
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0
16 May 2020
On the uncertainty of self-supervised monocular depth estimation
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Filippo Aleotti
Fabio Tosi
S. Mattoccia
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MDE
259
301
0
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Single Model Ensemble using Pseudo-Tags and Distinct Vectors
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Ryosuke Kuwabara
Jun Suzuki
Hideki Nakayama
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107
3
0
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Xia Zhu
Jong-Kae Fwu
Yun Ye
Ganmei You
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156
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0
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Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening
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A. Chakravarty
Tandra Sarkar
N. Ghosh
Ramanathan Sethuraman
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117
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0
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OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
IEEE Transactions on Image Processing (TIP), 2020
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Zheng-Hua Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
219
41
0
20 Apr 2020
Detached Error Feedback for Distributed SGD with Random Sparsification
International Conference on Machine Learning (ICML), 2020
An Xu
Heng-Chiao Huang
254
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DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images
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Till Dohmen
Dietrich-Rebholz Schuhmann
Stefan Decker
Michael Cochez
Oya Beyan
252
88
0
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Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset
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Rahul Paul
Dmitry Goldgof
Gregory M. Goldgof
230
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0
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Probabilistic Pixel-Adaptive Refinement Networks
Computer Vision and Pattern Recognition (CVPR), 2020
Anne S. Wannenwetsch
Stefan Roth
174
18
0
31 Mar 2020
SuperNet -- An efficient method of neural networks ensembling
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W. Dzwinel
74
2
0
29 Mar 2020
Sample Efficient Ensemble Learning with Catalyst.RL
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Valentin Khrulkov
129
4
0
29 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
IEEE Access (IEEE Access), 2020
Jun Yang
Fei Wang
237
39
0
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Diversity inducing Information Bottleneck in Model Ensembles
AAAI Conference on Artificial Intelligence (AAAI), 2020
Samarth Sinha
Homanga Bharadhwaj
Anirudh Goyal
Hugo Larochelle
Animesh Garg
Florian Shkurti
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247
42
0
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Flexible numerical optimization with ensmallen
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Marcus Edel
Rahul Prabhu
S. Basak
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Conrad Sanderson
176
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Jakob Verbeek
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212
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0
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Long Short-Term Sample Distillation
AAAI 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
64
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Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
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201
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0
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Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
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Yuliya Molchanova
Arsenii Ashukha
Dmitry Vetrov
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231
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0
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Dustin Tran
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434
536
0
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International Conference on Learning Representations (ICLR), 2020
Arsenii Ashukha
Alexander Lyzhov
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513
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15 Feb 2020
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