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2408.01689
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Controllable Unlearning for Image-to-Image Generative Models via
ε
\varepsilon
ε
-Constrained Optimization
20 February 2025
Xiaohua Feng
Chao-Jun Chen
Yuyuan Li
Lulu Zhang
Longfei Li
Jun Zhou
Xiaolin Zheng
MU
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Papers citing
"Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization"
41 / 41 papers shown
Title
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Eleni Triantafillou
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119
146
0
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Extracting Training Data from Diffusion Models
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Jamie Hayes
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Florian Tramèr
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Eric Wallace
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620
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30 Jan 2023
EDICT: Exact Diffusion Inversion via Coupled Transformations
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Han Zhang
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Diffusion Models: A Comprehensive Survey of Methods and Applications
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Yingxia Shao
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485
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Saurabh Saxena
Lala Li
Jay Whang
...
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Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
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Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala
Aram H. Markosyan
Luke Zettlemoyer
Armen Aghajanyan
TDI
125
197
0
22 May 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation
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Xiaolin Zheng
Chaochao Chen
Junlin Liu
MU
92
47
0
22 Mar 2022
MaskGIT: Masked Generative Image Transformer
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Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
158
695
0
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Recommendation Unlearning
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Fei Sun
Hao Fei
Bolin Ding
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High-Resolution Image Synthesis with Latent Diffusion Models
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A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
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Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
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507
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11 Nov 2021
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
493
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0
10 Nov 2021
On the Frequency Bias of Generative Models
Katja Schwarz
Yiyi Liao
Andreas Geiger
99
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Machine Unlearning of Features and Labels
Alexander Warnecke
Lukas Pirch
Christian Wressnegger
Konrad Rieck
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136
187
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Diffusion Models Beat GANs on Image Synthesis
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Alex Nichol
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Remember What You Want to Forget: Algorithms for Machine Unlearning
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Learning Transferable Visual Models From Natural Language Supervision
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Jong Wook Kim
Chris Hallacy
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Yujiu Yang
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DiffM
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520
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Taming Transformers for High-Resolution Image Synthesis
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Robin Rombach
Bjorn Ommer
ViT
137
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DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
Yaxing Wang
Lu Yu
Joost van de Weijer
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11 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
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41,796
0
22 Oct 2020
Amnesiac Machine Learning
Laura Graves
Vineel Nagisetty
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MIACV
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274
0
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Influence Functions in Deep Learning Are Fragile
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Phillip E. Pope
Soheil Feizi
TDI
156
237
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Denoising Diffusion Probabilistic Models
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Ajay Jain
Pieter Abbeel
DiffM
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Improved Techniques for Training Score-Based Generative Models
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Stefano Ermon
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276
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Pareto Multi-Task Learning
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Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
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Machine Unlearning
Lucas Bourtoule
Varun Chandrasekaran
Christopher A. Choquette-Choo
Hengrui Jia
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David Lie
Nicolas Papernot
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888
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Stefano Soatto
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506
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Aaron Sarna
Dilip Krishnan
Aaron Maschinot
David Belanger
Ce Liu
William T. Freeman
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111
0
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An Introduction to Variational Autoencoders
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Max Welling
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132
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Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
296
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0
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Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
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Improved Techniques for Training GANs
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Wojciech Zaremba
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505
0
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