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Generalization Bounds For Unsupervised and Semi-Supervised Learning With
  Autoencoders

Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders

4 February 2019
Baruch Epstein
Ron Meir
    SSL
    DRL
    AI4CE
ArXivPDFHTML

Papers citing "Generalization Bounds For Unsupervised and Semi-Supervised Learning With Autoencoders"

8 / 8 papers shown
Title
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with
  Unsupervised Audio Mixtures
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
Afrina Tabassum
Dung N. Tran
Trung D. Q. Dang
Ismini Lourentzou
K. Koishida
50
0
0
14 Mar 2024
Unsupervised Optimisation of GNNs for Node Clustering
Unsupervised Optimisation of GNNs for Node Clustering
Will Leeney
Ryan McConville
37
0
0
12 Feb 2024
CROMA: Remote Sensing Representations with Contrastive Radar-Optical
  Masked Autoencoders
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
A. Fuller
K. Millard
James R. Green
29
60
0
01 Nov 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner
Benedikt Alkin
Andreas Fürst
Elisabeth Rumetshofer
Lukas Miklautz
Sepp Hochreiter
29
18
0
20 Apr 2023
Perfectly Balanced: Improving Transfer and Robustness of Supervised
  Contrastive Learning
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Mayee F. Chen
Daniel Y. Fu
A. Narayan
Michael Zhang
Zhao Song
Kayvon Fatahalian
Christopher Ré
SSL
32
48
0
15 Apr 2022
On PAC-Bayesian reconstruction guarantees for VAEs
On PAC-Bayesian reconstruction guarantees for VAEs
Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
DRL
53
17
0
23 Feb 2022
Unsupervised learning of anomalous diffusion data
Unsupervised learning of anomalous diffusion data
Gorka Muñoz-Gil
Guillem Guigo i Corominas
M. Lewenstein
DiffM
25
17
0
07 Aug 2021
Target-Embedding Autoencoders for Supervised Representation Learning
Target-Embedding Autoencoders for Supervised Representation Learning
Daniel Jarrett
M. Schaar
OOD
16
15
0
23 Jan 2020
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