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Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time
  Training

Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training

15 March 2024
Edward P. Chandler
Shirin Shoushtari
Jiaming Liu
M. Salman Asif
Ulugbek S. Kamilov
    OOD
ArXiv (abs)PDFHTML

Papers citing "Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training"

7 / 7 papers shown
Title
Deep Model-Based Architectures for Inverse Problems under Mismatched
  Priors
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
Shirin Shoushtari
Jiaming Liu
Yuyang Hu
Ulugbek S. Kamilov
58
6
0
26 Jul 2022
Online Deep Equilibrium Learning for Regularization by Denoising
Online Deep Equilibrium Learning for Regularization by Denoising
Jiaming Liu
Xiaojian Xu
Weijie Gan
Shirin Shoushtari
Ulugbek S. Kamilov
105
27
0
25 May 2022
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
80
181
0
16 Feb 2021
A Brief Review of Domain Adaptation
A Brief Review of Domain Adaptation
Abolfazl Farahani
Sahar Voghoei
Khaled Rasheed
H. Arabnia
OOD
59
545
0
07 Oct 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
90
534
0
12 May 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
102
1,022
0
22 Dec 2019
A Review of Convolutional Neural Networks for Inverse Problems in
  Imaging
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann
Kyong Hwan Jin
M. Unser
3DV
61
593
0
11 Oct 2017
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