On Training Sample Memorization: Lessons from Benchmarking Generative
Modeling with a Large-scale Competition

On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition

Knowledge Discovery and Data Mining (KDD), 2021

6 June 2021

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Papers citing "On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition"

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Title
A Geometric Framework for Understanding Memorization in Generative ModelsInternational Conference on Learning Representations (ICLR), 2024 Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell Gabriel Loaiza-Ganem 396 24 0 31 Oct 2024
Deep Generative Models for 3D Medical Image Synthesis Paul Friedrich Yannik Frisch P. Cattin 3DV MedIm 265 13 0 23 Oct 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative GenerationEuropean Conference on Computer Vision (ECCV), 2024 Jack Lu Ryan Teehan Mengye Ren DiffM 247 8 0 05 Aug 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 372 2 0 29 May 2024
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent CircumventionConference on Fairness, Accountability and Transparency (FAccT), 2024 Cedric Deslandes Whitney Justin Norman 172 44 0 03 May 2024
A survey of synthetic data augmentation methods in computer visionMachine Intelligence Research (MIR), 2024 A. Mumuni F. Mumuni N. K. Gerrar 291 69 0 15 Mar 2024
Deep Unlearning: Fast and Efficient Training-free Approach to Class Forgetting Sangamesh Kodge Gobinda Saha Kaushik Roy MU CLL 220 0 0 01 Dec 2023
What do larger image classifiers memorise? Michal Lukasik Vaishnavh Nagarajan A. S. Rawat A. Menon Sanjiv Kumar 232 5 0 09 Oct 2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image GenerationComputer Vision and Pattern Recognition (CVPR), 2023 Mayu Otani Riku Togashi Yu Sawai Ryosuke Ishigami Yuta Nakashima Esa Rahtu J. Heikkilä Shiníchi Satoh 181 77 0 04 Apr 2023
Data-Copying in Generative Models: A Formal FrameworkInternational Conference on Machine Learning (ICML), 2023 Robi Bhattacharjee S. Dasgupta Kamalika Chaudhuri TDI 194 11 0 25 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong A. Bose I. Gemp Chongli Qin Yoram Bachrach Gauthier Gidel EGVM 509 15 0 09 Feb 2023
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Gowthami Somepalli Vasu Singla Micah Goldblum Jonas Geiping Tom Goldstein 322 413 0 07 Dec 2022
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection Andrew Bai Cho-Jui Hsieh Wendy Kan Hsuan-Tien Lin GAN 211 5 0 21 Oct 2022
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers Sachith Seneviratne Damith A. Senanayake Sanka Rasnayaka Rajith Vidanaarachchi Jason Thompson ViT 211 26 0 03 Aug 2022
A Proposal for Foley Sound Synthesis Challenge Keunwoo Choi Sangshin Oh Minsung Kang Brian McFee 104 11 0 21 Jul 2022