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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
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Papers citing
"Snapshot Ensembles: Train 1, get M for free"
50 / 461 papers shown
Deep Ensembles Work, But Are They Necessary?
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UQCV
345
79
0
14 Feb 2022
PFGE: Parsimonious Fast Geometric Ensembling of DNNs
International Conference on Intelligent Computing (ICIC), 2022
Hao Guo
Jiyong Jin
B. Liu
FedML
437
1
0
14 Feb 2022
When Do Flat Minima Optimizers Work?
Neural Information Processing Systems (NeurIPS), 2022
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
526
86
0
01 Feb 2022
Learning Proximal Operators to Discover Multiple Optima
International Conference on Learning Representations (ICLR), 2022
Lingxiao Li
Noam Aigerman
Vladimir G. Kim
Jiajin Li
Kristjan Greenewald
Mikhail Yurochkin
Justin Solomon
333
3
0
28 Jan 2022
Improving robustness and calibration in ensembles with diversity regularization
German Conference on Pattern Recognition (GCPR), 2022
H. A. Mehrtens
Camila González
Anirban Mukhopadhyay
UQCV
124
9
0
26 Jan 2022
ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation
Zixuan Cao
Yang Xu
Zhewei Huang
Shuchang Zhou
295
9
0
25 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
259
39
0
24 Jan 2022
Stochastic Weight Averaging Revisited
Applied Sciences (Appl. Sci.), 2022
Hao Guo
Jiyong Jin
B. Liu
376
35
0
03 Jan 2022
SAE: Sequential Anchored Ensembles
Arnaud Delaunoy
Gilles Louppe
UQCV
BDL
176
0
0
30 Dec 2021
Semi-supervised Salient Object Detection with Effective Confidence Estimation
Jiawei Liu
Jing Zhang
Nick Barnes
237
7
0
28 Dec 2021
Efficient Diversity-Driven Ensemble for Deep Neural Networks
IEEE International Conference on Data Engineering (ICDE), 2020
Wentao Zhang
Jiawei Jiang
Yingxia Shao
Tengjiao Wang
163
22
0
26 Dec 2021
DPICT: Deep Progressive Image Compression Using Trit-Planes
Jae-Han Lee
S. Jeon
K. Choi
Youngo Park
Chang-Su Kim
223
37
0
12 Dec 2021
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos
Eszter Vértes
Zita Marinho
Gregory Farquhar
Diana Borsa
A. Friesen
Feryal M. P. Behbahani
Tom Schaul
André Barreto
Simon Osindero
352
7
0
08 Dec 2021
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks
J. Holodnak
Allan B. Wollaber
UQCV
BDL
113
0
0
07 Dec 2021
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
Meet P. Vadera
Benjamin M. Marlin
UQCV
BDL
134
6
0
03 Dec 2021
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method
Wenda Qin
Teruhisa Misu
Derry Wijaya
UQCV
LM&Ro
214
6
0
28 Nov 2021
Efficient Self-Ensemble for Semantic Segmentation
British Machine Vision Conference (BMVC), 2021
Walid Bousselham
Guillaume Thibault
Lucas Pagano
Archana Machireddy
Joe W. Gray
Y. Chang
Xubo B. Song
ViT
291
32
0
26 Nov 2021
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
Proceedings of the VLDB Endowment (PVLDB), 2021
David Campos
Tung Kieu
Chenjuan Guo
Feiteng Huang
Kai Zheng
B. Yang
Christian S. Jensen
AI4TS
510
65
0
22 Nov 2021
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One
Shuwei Shao
Ran Li
Z. Pei
Zhong Liu
Weihai Chen
Wentao Zhu
Xingming Wu
Baochang Zhang
ViT
MDE
142
20
0
16 Nov 2021
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications
J. Rock
Tiago Azevedo
R. D. Jong
Daniel Ruiz-Munoz
Partha P. Maji
UQCV
126
5
0
11 Nov 2021
Reconstructing Training Data from Diverse ML Models by Ensemble Inversion
Qian Wang
Daniel Kurz
80
13
0
05 Nov 2021
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation
Yidan Hu
Yong Liu
Chunyan Miao
Gongqi Lin
Yuan Miao
186
1
0
20 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace
Devansh Arpit
Huan Wang
Caiming Xiong
SSL
OOD
135
0
0
19 Oct 2021
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
Mao Ye
Qiang Liu
201
1
0
17 Oct 2021
Sparse MoEs meet Efficient Ensembles
J. Allingham
F. Wenzel
Zelda E. Mariet
Basil Mustafa
J. Puigcerver
...
Balaji Lakshminarayanan
Jasper Snoek
Dustin Tran
Carlos Riquelme Ruiz
Rodolphe Jenatton
MoE
301
23
0
07 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble
Yihao Wang
AAML
UQCV
163
1
0
07 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDL
UQCV
UD
EDL
PER
335
77
0
06 Oct 2021
Boost Neural Networks by Checkpoints
Feng Wang
Gu-Yeon Wei
Qiao Liu
Jinxiang Ou
Xian Wei
Hairong Lv
FedML
UQCV
155
12
0
03 Oct 2021
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Gwangbin Bae
Ignas Budvytis
R. Cipolla
232
140
0
20 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning
S. Hahn
Minwoo Jeong
Junghye Lee
FedML
216
25
0
16 Sep 2021
A framework for benchmarking uncertainty in deep regression
F. Schmähling
Jörg Martin
Clemens Elster
UQCV
143
8
0
10 Sep 2021
Neural Ensemble Search via Bayesian Sampling
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Yao Shu
Yizhou Chen
Zhongxiang Dai
Bryan Kian Hsiang Low
BDL
164
8
0
06 Sep 2021
MobileCaps: A Lightweight Model for Screening and Severity Analysis of COVID-19 Chest X-Ray Images
S. Pawan
Rahul Sankar
A. Prabhudev
P. Mahesh
K. Prakashini
S. Das
Jeny Rajan
190
3
0
19 Aug 2021
Pattern Recognition in Vital Signs Using Spectrograms
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Sidharth Srivatsav Sribhashyam
Md Sirajus Salekin
Dmitry Goldgof
Ghada Zamzmi
Mark Last
Yu Sun
122
2
0
05 Aug 2021
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
Machine Learning in Health Care (MLHC), 2021
Zhe Huang
Gary Long
B. Wessler
M. C. Hughes
123
33
0
30 Jul 2021
SA-GD: Improved Gradient Descent Learning Strategy with Simulated Annealing
Zhicheng Cai
163
8
0
15 Jul 2021
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks
Yufeng Xia
Jun Zhang
Zhiqiang Gong
Tingsong Jiang
Wen Yao
UQCV
143
1
0
15 Jul 2021
Multi-headed Neural Ensemble Search
Ashwin Raaghav Narayanan
Arber Zela
Tonmoy Saikia
Thomas Brox
Katharina Eggensperger
UQCV
125
4
0
09 Jul 2021
Mitigating Memorization in Sample Selection for Learning with Noisy Labels
Kyeongbo Kong
Junggi Lee
Youngchul Kwak
Young-Rae Cho
Seong-Eun Kim
Woo‐Jin Song
NoLa
133
0
0
08 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
557
1,496
0
07 Jul 2021
What can linear interpolation of neural network loss landscapes tell us?
International Conference on Machine Learning (ICML), 2021
Tiffany J. Vlaar
Jonathan Frankle
MoMe
231
30
0
30 Jun 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
International Conference on Learning Representations (ICLR), 2021
Shiwei Liu
Tianlong Chen
Zahra Atashgahi
Xiaohan Chen
Ghada Sokar
Elena Mocanu
Mykola Pechenizkiy
Zinan Lin
Decebal Constantin Mocanu
OOD
382
62
0
28 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
Chunwei Ma
Ziyun Huang
Jiayi Xian
Mingchen Gao
Jinhui Xu
UQCV
182
16
0
25 Jun 2021
Repulsive Deep Ensembles are Bayesian
Neural Information Processing Systems (NeurIPS), 2021
Francesco DÁngelo
Vincent Fortuin
UQCV
BDL
441
116
0
22 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets
Neural Information Processing Systems (NeurIPS), 2021
Arlind Kadra
Marius Lindauer
Katharina Eggensperger
Josif Grabocka
230
238
0
21 Jun 2021
On Stein Variational Neural Network Ensembles
Francesco DÁngelo
Vincent Fortuin
F. Wenzel
UQCV
BDL
229
31
0
20 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du
Tian Bian
Yu Rong
Bo Han
Tongliang Liu
Qifeng Bai
Wenbing Huang
Shouqing Yang
Junzhou Huang
NoLa
229
20
0
14 Jun 2021
Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification
Dhaka University Journal of Applied Science and Engineering (JDUASE), 2021
Yusuf Brima
Mossadek Hossain Kamal Tushar
Upama Kabir
Tariqul Islam
MedIm
111
9
0
14 Jun 2021
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Yi Lin
Yanfei Liu
Hao-tao Chen
Xin Yang
Kai Ma
Yefeng Zheng
Kwang-Ting Cheng
3DV
206
8
0
12 Jun 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation
Neural Information Processing Systems (NeurIPS), 2021
Yu Bai
Song Mei
Huan Wang
Caiming Xiong
UQCV
120
14
0
10 Jun 2021
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