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Capacity Control is an Effective Memorization Mitigation Mechanism in
  Text-Conditional Diffusion Models

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models

29 October 2024
Raman Dutt
Pedro Sanchez
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models"

18 / 18 papers shown
Title
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in
  Medical Image Analysis
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
Raman Dutt
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
102
14
0
08 Oct 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
112
55
0
14 May 2023
On the De-duplication of LAION-2B
On the De-duplication of LAION-2B
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
DiffM
66
42
0
17 Mar 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language
  Processing
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur
Stephanie L. Hyland
Qianchu Liu
Fernando Pérez-García
Maximilian Ilse
...
Maria T. A. Wetscherek
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
87
126
0
11 Jan 2023
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
93
263
0
17 Oct 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
425
6,921
0
13 Apr 2022
Three things everyone should know about Vision Transformers
Three things everyone should know about Vision Transformers
Hugo Touvron
Matthieu Cord
Alaaeldin El-Nouby
Jakob Verbeek
Hervé Jégou
ViT
114
123
0
18 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDLDiffM
167
522
0
06 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
520
15,788
0
20 Dec 2021
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Heeseung Kim
Sungwon Kim
Sungroh Yoon
DiffMBDL
112
112
0
23 Nov 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
202
1,244
0
18 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
310
7,971
0
11 May 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
385
6,592
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
304
7,500
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
782
18,408
0
19 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
634
10,605
0
12 Dec 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
875
36,910
0
25 Aug 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,035
0
12 Mar 2015
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