Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
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
ArXiv (abs)
PDF
HTML
Papers citing
"Snapshot Ensembles: Train 1, get M for free"
50 / 461 papers shown
Greedy Bayesian Posterior Approximation with Deep Ensembles
A. Tiulpin
Matthew B. Blaschko
UQCV
FedML
224
4
0
29 May 2021
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Reviews in Physics (Rev. Phys.), 2021
A. Stakia
T. Dorigo
G. Banelli
D. Bortoletto
A. Casa
...
G. Strong
C. Tosciri
J. Varela
Pietro Vischia
A. Weiler
149
5
0
16 May 2021
Troubleshooting Blind Image Quality Models in the Wild
Computer Vision and Pattern Recognition (CVPR), 2021
Zhihua Wang
Haotao Wang
Tianlong Chen
Zinan Lin
Kede Ma
128
27
0
14 May 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Shahbaz Rezaei
Zubair Shafiq
Xin Liu
FedML
MIACV
257
19
0
12 May 2021
Adaptive Focus for Efficient Video Recognition
IEEE International Conference on Computer Vision (ICCV), 2021
Yulin Wang
Zhaoxi Chen
Haojun Jiang
Shiji Song
Yizeng Han
Gao Huang
268
110
0
07 May 2021
Network Pruning That Matters: A Case Study on Retraining Variants
International Conference on Learning Representations (ICLR), 2021
Duong H. Le
Binh-Son Hua
153
45
0
07 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
Neural Networks (NN), 2021
Jary Pomponi
Simone Scardapane
A. Uncini
UQCV
190
9
0
06 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
324
61
0
29 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
Samuel Kim
Peter Y. Lu
Charlotte Loh
Jamie Smith
Jasper Snoek
M. Soljavcić
BDL
AI4CE
779
21
0
23 Apr 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
ACM Transactions on Knowledge Discovery from Data (TKDD), 2021
Dongsheng Li
Haodong Liu
Chao Chen
Yingying Zhao
Stephen M. Chu
Bo Yang
FedML
130
5
0
15 Apr 2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
Computer Vision and Pattern Recognition (CVPR), 2021
Minghao Chen
Houwen Peng
Jianlong Fu
Haibin Ling
190
22
0
01 Apr 2021
A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios
IEEE Access (IEEE Access), 2021
Xudong Chen
Shugong Xu
Qiaobin Ji
Shan Cao
AAML
CVBM
126
11
0
29 Mar 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
IEEE International Conference on Computer Vision (ICCV), 2021
Chao Qu
Wenxin Liu
Camillo J Taylor
UQCV
BDL
203
35
0
29 Mar 2021
Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks
Meteoritics and Planetary Science (MAPS), 2021
Logan Jaeger
A. Butterworth
Z. Gainsforth
R. Lettieri
A. Ardizzone
...
P. Wozniakiewicz
R. Ogliore
B. D. Gregorio
R. Stroud
A. Westphal
88
1
0
15 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
IEEE International Conference on Computer Vision (ICCV), 2021
Alexandre Ramé
Rémy Sun
Matthieu Cord
UQCV
347
64
0
10 Mar 2021
Nondeterminism and Instability in Neural Network Optimization
International Conference on Machine Learning (ICML), 2021
Cecilia Summers
M. Dinneen
183
51
0
08 Mar 2021
Efficient Model Performance Estimation via Feature Histories
Shengcao Cao
Xiaofang Wang
Kris Kitani
189
1
0
07 Mar 2021
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
Jacob D. Abernethy
Pranjal Awasthi
Satyen Kale
AAML
201
6
0
01 Mar 2021
Learning Neural Network Subspaces
International Conference on Machine Learning (ICML), 2021
Mitchell Wortsman
Maxwell Horton
Carlos Guestrin
Ali Farhadi
Mohammad Rastegari
UQCV
339
98
0
20 Feb 2021
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems
Yiwei Bai
Wenting Zhao
Daniel Schwalbe-Koda
222
1
0
05 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Computer Vision and Pattern Recognition (CVPR), 2021
Dogyoon Lee
Jaeha Lee
Junhyeop Lee
Hyeongmin Lee
Minhyeok Lee
Sungmin Woo
Sangyoun Lee
3DPC
437
94
0
03 Feb 2021
Grad-CAM guided channel-spatial attention module for fine-grained visual classification
International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Shuai Xu
Dongliang Chang
Jiyang Xie
Zhanyu Ma
141
32
0
24 Jan 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Computer Vision and Pattern Recognition (CVPR), 2021
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Zhuowen Tu
Stefano Soatto
330
146
0
21 Jan 2021
A Survey on Ensemble Learning under the Era of Deep Learning
Artificial Intelligence Review (AIR), 2021
Yongquan Yang
Haijun Lv
Ning Chen
OOD
668
282
0
21 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
International Conference on Learning Representations (ICLR), 2021
Alexandre Ramé
Matthieu Cord
FedML
248
59
0
14 Jan 2021
Twin Neural Network Regression
Applied AI Letters (AA), 2020
Zakaria Patel
Kevin Ryczko
R. Melko
Isaac Tamblyn
UQCV
296
14
0
29 Dec 2020
Learning with Retrospection
AAAI Conference on Artificial Intelligence (AAAI), 2020
Xiang Deng
Zhongfei Zhang
107
20
0
24 Dec 2020
Masksembles for Uncertainty Estimation
Computer Vision and Pattern Recognition (CVPR), 2020
Nikita Durasov
Timur M. Bagautdinov
Pierre Baqué
Pascal Fua
OOD
UQCV
255
99
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
364
63
0
14 Dec 2020
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
BDL
UQCV
320
32
0
04 Dec 2020
A Variant of Gradient Descent Algorithm Based on Gradient Averaging
Saugata Purkayastha
Sukannya Purkayastha
ODL
130
2
0
04 Dec 2020
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
International Conference on Learning Representations (ICLR), 2020
Xiaofang Wang
Dan Kondratyuk
Eric Christiansen
Kris Kitani
Y. Alon
Elad Eban
618
59
0
03 Dec 2020
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training
IEEE Transactions on Image Processing (TIP), 2020
Shuai Zhao
Liguang Zhou
Wenxiao Wang
Xiaofei He
Tin Lun Lam
Yangsheng Xu
332
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
288
73
0
30 Nov 2020
Online Ensemble Model Compression using Knowledge Distillation
European Conference on Computer Vision (ECCV), 2020
Devesh Walawalkar
Zhiqiang Shen
Marios Savvides
147
56
0
15 Nov 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Scientific Reports (Sci Rep), 2020
Jörg Sander
B. D. de Vos
Ivana Išgum
186
60
0
13 Nov 2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Neural Information Processing Systems (NeurIPS), 2020
Lijing Wang
Dipanjan Ghosh
Maria Teresa Gonzalez Diaz
Ahmed K. Farahat
M. Alam
Chetan Gupta
Jiangzhuo Chen
Madhav V. Marathe
218
12
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
363
12
0
10 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling
Sebastian Buschjäger
Lukas Pfahler
K. Morik
FedML
BDL
UQCV
222
20
0
05 Nov 2020
PEP: Parameter Ensembling by Perturbation
Neural Information Processing Systems (NeurIPS), 2020
Alireza Mehrtash
Purang Abolmaesumi
Polina Golland
Tina Kapur
Demian Wassermann
W. Wells
148
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
207
25
0
21 Oct 2020
Combining Ensembles and Data Augmentation can Harm your Calibration
International Conference on Learning Representations (ICLR), 2020
Yeming Wen
Ghassen Jerfel
Rafael Muller
Michael W. Dusenberry
Jasper Snoek
Balaji Lakshminarayanan
Dustin Tran
UQCV
330
71
0
19 Oct 2020
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
Estèphe Arnaud
Arnaud Dapogny
Kévin Bailly
CVBM
219
35
0
15 Oct 2020
CC-Loss: Channel Correlation Loss For Image Classification
Zeyu Song
Dongliang Chang
Zhanyu Ma
Xiaoxu Li
Zheng-Hua Tan
146
9
0
12 Oct 2020
Improved Analysis of Clipping Algorithms for Non-convex Optimization
Neural Information Processing Systems (NeurIPS), 2020
Bohang Zhang
Jikai Jin
Cong Fang
Liwei Wang
321
111
0
05 Oct 2020
End-to-End Training of CNN Ensembles for Person Re-Identification
Pattern Recognition (Pattern Recognit.), 2020
Ayse Serbetci
Y. S. Akgul
172
24
0
03 Oct 2020
Neural Model-based Optimization with Right-Censored Observations
Katharina Eggensperger
Kai Haase
Philip Muller
Marius Lindauer
Katharina Eggensperger
198
9
0
29 Sep 2020
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
PeerJ Computer Science (PeerJ Comput. Sci.), 2020
N. K. Chowdhury
M. A. Kabir
Md. Muhtadir Rahman
Noortaz Rezoana
214
60
0
24 Sep 2020
Adversarial Training with Stochastic Weight Average
International Conference on Information Photonics (ICIP), 2020
Joong-won Hwang
Youngwan Lee
Sungchan Oh
Yuseok Bae
OOD
AAML
166
11
0
21 Sep 2020
Robust Deep Learning Ensemble against Deception
IEEE Transactions on Dependable and Secure Computing (TDSC), 2020
Wenqi Wei
Ling Liu
AAML
144
29
0
14 Sep 2020
Previous
1
2
3
...
10
5
6
7
8
9
Next
