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Diversified Ensemble of Independent Sub-Networks for Robust
  Self-Supervised Representation Learning

Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning

28 August 2023
Amirhossein Vahidi
Lisa Wimmer
H. Gündüz
Bernd Bischl
Eyke Hüllermeier
Mina Rezaei
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning"

16 / 16 papers shown
Title
The Mechanism of Prediction Head in Non-contrastive Self-supervised
  Learning
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen
Yuanzhi Li
SSL
76
34
0
12 May 2022
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
T. Klein
Moin Nabi
SSL
45
25
0
15 Mar 2022
data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski
Wei-Ning Hsu
Qiantong Xu
Arun Babu
Jiatao Gu
Michael Auli
SSL
VLM
ViT
87
845
0
07 Feb 2022
CLIP-Event: Connecting Text and Images with Event Structures
CLIP-Event: Connecting Text and Images with Event Structures
Manling Li
Ruochen Xu
Shuohang Wang
Luowei Zhou
Xudong Lin
Chenguang Zhu
Michael Zeng
Heng Ji
Shih-Fu Chang
VLM
CLIP
59
126
0
13 Jan 2022
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
125
925
0
11 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
247
2,321
0
04 Mar 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
183
282
0
12 Feb 2021
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
107
1,379
0
31 Oct 2020
Training independent subnetworks for robust prediction
Training independent subnetworks for robust prediction
Marton Havasi
Rodolphe Jenatton
Stanislav Fort
Jeremiah Zhe Liu
Jasper Snoek
Balaji Lakshminarayanan
Andrew M. Dai
Dustin Tran
UQCV
OOD
77
211
0
13 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
308
6,718
0
13 Jun 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and
  Lifelong Learning
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Yeming Wen
Dustin Tran
Jimmy Ba
OOD
FedML
UQCV
131
487
0
17 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
  Learning
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
UQCV
FedML
69
315
0
15 Feb 2020
Deep Ensembles: A Loss Landscape Perspective
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
OOD
UQCV
89
624
0
05 Dec 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
148
1,677
0
06 Jun 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity
Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang
Kun Xu
Chao Du
Ning Chen
Jun Zhu
AAML
60
436
0
25 Jan 2019
Parseval Networks: Improving Robustness to Adversarial Examples
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
133
802
0
28 Apr 2017
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