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Unsupervised Transformation Learning via Convex Relaxations

Unsupervised Transformation Learning via Convex Relaxations

6 November 2017
Tatsunori B. Hashimoto
John C. Duchi
Percy Liang
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Transformation Learning via Convex Relaxations"

6 / 6 papers shown
Title
Robust Self-Supervised Learning with Lie Groups
Robust Self-Supervised Learning with Lie Groups
Mark Ibrahim
Diane Bouchacourt
Ari S. Morcos
SSLOOD
73
6
0
24 Oct 2022
Toward a Geometrical Understanding of Self-supervised Contrastive
  Learning
Toward a Geometrical Understanding of Self-supervised Contrastive Learning
Romain Cosentino
Anirvan M. Sengupta
Salman Avestimehr
Mahdi Soltanolkotabi
Antonio Ortega
Ted Willke
Mariano Tepper
SSL
82
17
0
13 May 2022
Addressing the Topological Defects of Disentanglement via Distributed
  Operators
Addressing the Topological Defects of Disentanglement via Distributed Operators
Diane Bouchacourt
Mark Ibrahim
Stéphane Deny
38
22
0
10 Feb 2021
Deep Autoencoders: From Understanding to Generalization Guarantees
Deep Autoencoders: From Understanding to Generalization Guarantees
Romain Cosentino
Randall Balestriero
Richard Baraniuk
B. Aazhang
40
6
0
20 Sep 2020
Equivariant Transformer Networks
Equivariant Transformer Networks
Kai Sheng Tai
Peter Bailis
Gregory Valiant
ViT
96
71
0
25 Jan 2019
Truly unsupervised acoustic word embeddings using weak top-down
  constraints in encoder-decoder models
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder models
Herman Kamper
SSL
101
68
0
01 Nov 2018
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