Training Unbiased Diffusion Models From Biased Dataset

2 March 2024

Papers citing "Training Unbiased Diffusion Models From Biased Dataset"

37 / 37 papers shown

Title
Binary Losses for Density Ratio Estimation Werner Zellinger 94 0 0 28 Jan 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 81 0 0 03 Oct 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 90 2 0 27 May 2024
Label-Noise Robust Diffusion Models Byeonghu Na Yeongmin Kim Heesun Bae Jung Hyun Lee Seho Kwon Wanmo Kang Il-Chul Moon NoLa DiffM 81 8 0 27 Feb 2024
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 67 32 0 06 May 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 74 88 0 28 Nov 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 74 15 0 19 Sep 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 76 25 0 05 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 147 3,858 0 26 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 88 192 0 14 Jul 2022
Diffusion models as plug-and-play priors Alexandros Graikos Nikolay Malkin Nebojsa Jojic Dimitris Samaras DiffM 71 220 0 17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 82 85 0 16 Jun 2022
Diffusion-GAN: Training GANs with Diffusion Zhendong Wang Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 56 230 0 05 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 156 1,952 0 01 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 351 15,373 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 286 3,582 0 20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 77 550 0 15 Dec 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 114 136 0 06 Oct 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 130 1,484 0 02 Aug 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 59 95 0 10 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 178 7,765 0 11 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 285 3,648 0 18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 122 657 0 22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 292 6,409 0 26 Nov 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 195 1,145 0 16 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 127 1,882 0 11 Jun 2020
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 85 134 0 26 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 107 1,594 0 18 Jun 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 529 10,540 0 12 Dec 2018
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 56 358 0 25 Nov 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 139 1,424 0 24 Mar 2018
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 79 2,106 0 17 Jan 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 196 4,301 0 07 Oct 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 125 1,654 0 02 Jun 2016
A Deeper Look at Dataset Bias Tatiana Tommasi Novi Patricia Barbara Caputo Tinne Tuytelaars 97 327 0 06 May 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 173 1,984 0 11 Dec 2014