ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.00109
  4. Cited By
Snapshot Ensembles: Train 1, get M for free

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
    OODFedMLUQCV
ArXiv (abs)PDFHTML

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

50 / 461 papers shown
Deep Learning for Brain Age Estimation: A Systematic Review
Deep Learning for Brain Age Estimation: A Systematic ReviewInformation Fusion (Inf. Fusion), 2022
Md. Iftekhar Tanveer
M. A. Ganaie
I. Beheshti
Tripti Goel
Nehal Ahmad
Kuan-Ting Lai
Kaizhu Huang
Yudong Zhang
Javier Del Ser
Chin-Teng Lin
187
112
0
07 Dec 2022
Instability in clinical risk stratification models using deep learning
Instability in clinical risk stratification models using deep learning
D. Martinez
A. Yakubovich
Martin G. Seneviratne
Á. Lelkes
Akshit Tyagi
...
N. L. Downing
Ron C. Li
Keith Morse
N. Shah
Ming-Jun Chen
OOD
155
4
0
20 Nov 2022
Weighted Ensemble Self-Supervised Learning
Weighted Ensemble Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
229
20
0
18 Nov 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident ClassifierIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
220
6
0
21 Oct 2022
Revisiting Checkpoint Averaging for Neural Machine Translation
Revisiting Checkpoint Averaging for Neural Machine Translation
Yingbo Gao
Christian Herold
Zijian Yang
Hermann Ney
MoMe
262
13
0
21 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty EstimationInternational Conference on Learning Representations (ICLR), 2022
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
464
40
0
17 Oct 2022
Efficient Knowledge Distillation from Model Checkpoints
Efficient Knowledge Distillation from Model CheckpointsNeural Information Processing Systems (NeurIPS), 2022
Chaofei Wang
Qisen Yang
Rui Huang
Qing Xiao
Gao Huang
FedML
169
46
0
12 Oct 2022
Deep Combinatorial Aggregation
Deep Combinatorial AggregationNeural Information Processing Systems (NeurIPS), 2022
Yuesong Shen
Zorah Lähner
OODUQCV
146
6
0
12 Oct 2022
Sequential Ensembling for Semantic Segmentation
Sequential Ensembling for Semantic Segmentation
Rawal Khirodkar
Brandon A. Smith
Siddhartha Chandra
Amit Agrawal
A. Criminisi
157
3
0
08 Oct 2022
Leveraging variational autoencoders for multiple data imputation
Leveraging variational autoencoders for multiple data imputation
Breeshey Roskams-Hieter
J. Wells
S. Wade
DRL
117
9
0
30 Sep 2022
Training neural network ensembles via trajectory sampling
Training neural network ensembles via trajectory sampling
Jamie F. Mair
Dominic C. Rose
J. P. Garrahan
284
2
0
22 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via
  Uncertainty-Aware Mixup
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupNeural Information Processing Systems (NeurIPS), 2022
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
271
46
0
19 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic
  Neural Network
Sample-based Uncertainty Quantification with a Single Deterministic Neural NetworkInternational Joint Conference on Computational Intelligence (IJCCI), 2022
T. Kanazawa
Chetan Gupta
UQCV
221
6
0
17 Sep 2022
TEDL: A Two-stage Evidential Deep Learning Method for Classification
  Uncertainty Quantification
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li
Wei Shen
Denis Xavier Charles
UQCVEDL
219
3
0
12 Sep 2022
Ensembling Neural Networks for Improved Prediction and Privacy in Early
  Diagnosis of Sepsis
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of SepsisMachine Learning in Health Care (MLHC), 2022
Shigehiko Schamoni
Michael Hagmann
Stefan Riezler
FedML
189
5
0
01 Sep 2022
NeuralUQ: A comprehensive library for uncertainty quantification in
  neural differential equations and operators
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators
Zongren Zou
Xuhui Meng
Apostolos F. Psaros
George Karniadakis
AI4CE
228
48
0
25 Aug 2022
Lottery Pools: Winning More by Interpolating Tickets without Increasing
  Training or Inference Cost
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference CostAAAI Conference on Artificial Intelligence (AAAI), 2022
Lu Yin
Shiwei Liu
Fang Meng
Tianjin Huang
Vlado Menkovski
Mykola Pechenizkiy
117
14
0
23 Aug 2022
SiRi: A Simple Selective Retraining Mechanism for Transformer-based
  Visual Grounding
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual GroundingEuropean Conference on Computer Vision (ECCV), 2022
Mengxue Qu
Yu Wu
Wu Liu
Qiqi Gong
Xiaodan Liang
Olga Russakovsky
Yao Zhao
Yunchao Wei
ObjD
121
26
0
27 Jul 2022
Improving Predictive Performance and Calibration by Weight Fusion in
  Semantic Segmentation
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Sämann
A. Hammam
Andrei Bursuc
Christoph Stiller
H. Groß
FedML
167
1
0
22 Jul 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for
  real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorsComputer Vision and Pattern Recognition (CVPR), 2022
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
471
9,138
0
06 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
288
39
0
29 Jun 2022
Left Heavy Tails and the Effectiveness of the Policy and Value Networks
  in DNN-based best-first search for Sokoban Planning
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban PlanningNeural Information Processing Systems (NeurIPS), 2022
Dieqiao Feng
Daniel Schwalbe-Koda
B. Selman
216
3
0
28 Jun 2022
Effective training-time stacking for ensembling of deep neural networks
Effective training-time stacking for ensembling of deep neural networksInternational Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2022
P. Proskura
Alexey Zaytsev
96
11
0
27 Jun 2022
Transfer learning for ensembles: reducing computation time and keeping
  the diversity
Transfer learning for ensembles: reducing computation time and keeping the diversityInternational Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2022
Ilya Shashkov
Nikita Balabin
Evgeny Burnaev
Alexey Zaytsev
230
2
0
27 Jun 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time
A Geometric Method for Improved Uncertainty Estimation in Real-timeConference on Uncertainty in Artificial Intelligence (UAI), 2022
Gabriella Chouraqui
L. Cohen
Gil Einziger
Liel Leman
140
0
0
23 Jun 2022
When Does Re-initialization Work?
When Does Re-initialization Work?
Sheheryar Zaidi
Tudor Berariu
Hyunjik Kim
J. Bornschein
Claudia Clopath
Yee Whye Teh
Razvan Pascanu
259
13
0
20 Jun 2022
Modeling Generalized Specialist Approach To Train Quality Resilient
  Snapshot Ensemble
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble
G. Tahir
C. K. Loo
Zongying Liu
AAML
108
0
0
12 Jun 2022
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
Confidence-aware Self-Semantic Distillation on Knowledge Graph EmbeddingInternational Conference on Information and Knowledge Management (CIKM), 2022
Yichen Liu
C. Wang
Defang Chen
Zhehui Zhou
Yan Feng
Chun-Yen Chen
328
2
0
07 Jun 2022
Star algorithm for NN ensembling
Star algorithm for NN ensembling
Sergey Zinchenko
Dmitry Lishudi
FedML
101
0
0
01 Jun 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear
  Modulation
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationNeural Information Processing Systems (NeurIPS), 2022
Mehmet Özgür Türkoglu
Alexander Becker
H. Gündüz
Mina Rezaei
B. Bischl
Rodrigo Caye Daudt
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
FedMLUQCV
577
33
0
31 May 2022
Superposing Many Tickets into One: A Performance Booster for Sparse
  Neural Network Training
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network TrainingConference on Uncertainty in Artificial Intelligence (UAI), 2022
Lu Yin
Vlado Menkovski
Meng Fang
Tianjin Huang
Yulong Pei
Mykola Pechenizkiy
Decebal Constantin Mocanu
Shiwei Liu
275
9
0
30 May 2022
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent
  Training
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent TrainingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yue Zhao
Yantao Shen
Yuanjun Xiong
Shuo Yang
Wei Xia
Zhuowen Tu
Bernt Shiele
Stefano Soatto
BDL
221
8
0
12 May 2022
Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks
Jacobian Ensembles Improve Robustness Trade-offs to Adversarial AttacksInternational Conference on Artificial Neural Networks (ICANN), 2022
Kenneth T. Co
David Martínez-Rego
Zhongyuan Hau
Emil C. Lupu
AAML
135
5
0
19 Apr 2022
RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying
  misogynous MEMEs
RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEsInternational Workshop on Semantic Evaluation (SemEval), 2022
Wentao Yu
Benedikt T. Boenninghoff
Jonas Roehrig
D. Kolossa
74
3
0
08 Apr 2022
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors
DeepTensor: Low-Rank Tensor Decomposition with Deep Network PriorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Vishwanath Saragadam
Randall Balestriero
Ashok Veeraraghavan
Richard G. Baraniuk
259
37
0
07 Apr 2022
Discovering and forecasting extreme events via active learning in neural
  operators
Discovering and forecasting extreme events via active learning in neural operatorsNature Computational Science (Nat. Comput. Sci.), 2022
Ethan Pickering
Stephen Guth
George Karniadakis
T. Sapsis
AI4CE
223
73
0
05 Apr 2022
Learning Structured Gaussians to Approximate Deep Ensembles
Learning Structured Gaussians to Approximate Deep EnsemblesComputer Vision and Pattern Recognition (CVPR), 2022
Ivor J. A. Simpson
Sara Vicente
Neill D. F. Campbell
UQCV
127
10
0
29 Mar 2022
Single Model Ensemble for Subword Regularized Models in Low-Resource
  Machine Translation
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine TranslationFindings (Findings), 2022
Sho Takase
Tatsuya Hiraoka
Naoaki Okazaki
136
5
0
25 Mar 2022
RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors
RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors
S. Jeon
Jae-Han Lee
Chang-Su Kim
305
3
0
25 Mar 2022
Hyperbolic Uncertainty Aware Semantic Segmentation
Bike Chen
Wei Peng
Xiaofeng Cao
Juha Roning
UQCV
256
24
0
16 Mar 2022
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning
  for Segmentation
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Kaisar Kushibar
Víctor M. Campello
Lidia Garrucho Moras
Akis Linardos
Petia Radeva
Karim Lekadir
UQCV
142
22
0
16 Mar 2022
Reducing Flipping Errors in Deep Neural Networks
Reducing Flipping Errors in Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Xiang Deng
Yun Xiao
Bo Long
Zhongfei Zhang
AAML
140
4
0
16 Mar 2022
Structure and Distribution Metric for Quantifying the Quality of
  Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural
  Operators for Regression
Structure and Distribution Metric for Quantifying the Quality of Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural Operators for Regression
Ethan Pickering
T. Sapsis
UQCV
132
6
0
09 Mar 2022
Boosted Ensemble Learning based on Randomized NNs for Time Series
  Forecasting
Boosted Ensemble Learning based on Randomized NNs for Time Series ForecastingInternational Conference on Conceptual Structures (ICCS), 2022
Grzegorz Dudek
AI4TS
180
1
0
02 Mar 2022
Learn From the Past: Experience Ensemble Knowledge Distillation
Learn From the Past: Experience Ensemble Knowledge DistillationInternational Conference on Pattern Recognition (ICPR), 2022
Chaofei Wang
Shaowei Zhang
Qing Xiao
Gao Huang
230
7
0
25 Feb 2022
Embedded Ensembles: Infinite Width Limit and Operating Regimes
Embedded Ensembles: Infinite Width Limit and Operating RegimesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Maksim Velikanov
Roma Kail
Ivan Anokhin
Roman Vashurin
Maxim Panov
Alexey Zaytsev
Dmitry Yarotsky
138
1
0
24 Feb 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse
  Independent Subnetworks
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent SubnetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Tim Whitaker
L. D. Whitley
UQCV
167
28
0
23 Feb 2022
Continual Learning Beyond a Single Model
Continual Learning Beyond a Single Model
T. Doan
Seyed Iman Mirzadeh
Mehrdad Farajtabar
CLL
361
22
0
20 Feb 2022
Ensemble Learning techniques for object detection in high-resolution
  satellite images
Ensemble Learning techniques for object detection in high-resolution satellite images
A. Vilhelm
Matthieu Limbert
Clement Audebert
Tugdual Ceillier
ObjD
71
1
0
16 Feb 2022
ActionFormer: Localizing Moments of Actions with Transformers
ActionFormer: Localizing Moments of Actions with TransformersEuropean Conference on Computer Vision (ECCV), 2022
Chen-Da Liu-Zhang
Jianxin Wu
Yin Li
ViT
321
448
0
16 Feb 2022
Previous
12345...8910
Next