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Nepotistically Trained Generative-AI Models Collapse

20 November 2023

Papers citing "Nepotistically Trained Generative-AI Models Collapse"

32 / 32 papers shown

Title
When Models Don't Collapse: On the Consistency of Iterative MLE Daniel Barzilai Ohad Shamir SyDa 32 0 0 25 May 2025
Emergent Specialization: Rare Token Neurons in Language Models Jing Liu Haozheng Wang Yueheng Li MILM LRM 56 0 0 19 May 2025
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? Grgur Kovač Jérémy Perez Rémy Portelas Peter Ford Dominey Pierre-Yves Oudeyer 76 0 0 04 Apr 2025
Position: Model Collapse Does Not Mean What You Think Rylan Schaeffer Joshua Kazdan Alvan Caleb Arulandu Sanmi Koyejo 207 3 0 05 Mar 2025
Text-to-Image Synthesis: A Decade Survey Nonghai Zhang Hao Tang EGVM 95 8 0 25 Nov 2024
Intention Is All You Need Advait Sarkar 66 2 0 24 Oct 2024
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World Joshua Kazdan Rylan Schaeffer Apratim Dey Matthias Gerstgrasser Rafael Rafailov D. Donoho Sanmi Koyejo 115 17 0 22 Oct 2024
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition Chen Hu Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma FedML 125 0 0 30 Aug 2024
A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions Luca Pappalardo Emanuele Ferragina Salvatore Citraro Giuliano Cornacchia M. Nanni ... D. Gambetta Giovanni Mauro Virginia Morini Valentina Pansanella D. Pedreschi 72 11 0 29 Jun 2024
AI and the Problem of Knowledge Collapse Andrew J. Peterson 88 22 0 04 Apr 2024
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 91 156 0 04 Jul 2023
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet Gonzalo Martínez Lauren Watson Pedro Reviriego José Alberto Hernández Marc Juárez Rik Sarkar 50 56 0 08 Jun 2023
The Curse of Recursion: Training on Generated Data Makes Models Forget Ilia Shumailov Zakhar Shumaylov Yiren Zhao Y. Gal Nicolas Papernot Ross J. Anderson DiffM 79 298 0 27 May 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 92 203 0 20 Feb 2023
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation? Gonzalo Martínez Ruiz de Arcaute Lauren Watson Pedro Reviriego José Alberto Hernández Marc Juárez Rik Sarkar 55 42 0 17 Feb 2023
Will Large-scale Generative Models Corrupt Future Datasets? Ryuichiro Hataya Han Bao Hiromi Arai 59 57 0 15 Nov 2022
On the detection of synthetic images generated by diffusion models Riccardo Corvi D. Cozzolino Giada Zingarini Giovanni Poggi Koki Nagano L. Verdoliva 175 236 0 01 Nov 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 200 3,493 0 16 Oct 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 493 15,734 0 20 Dec 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 58 166 0 17 Jun 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 150 1,584 0 18 Apr 2021
Are GAN generated images easy to detect? A critical analysis of the state-of-the-art Diego Gragnaniello D. Cozzolino Francesco Marra Giovanni Poggi L. Verdoliva 107 176 0 06 Apr 2021
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning Krishna Srinivasan K. Raman Jiecao Chen Michael Bendersky Marc Najork VLM 268 320 0 02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,810 0 26 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,716 0 18 Feb 2021
What makes fake images detectable? Understanding properties that generalize Lucy Chai David Bau Ser-Nam Lim Phillip Isola AAML WIGM 94 311 0 24 Aug 2020
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Ning Yu Vladislav Skripniuk Sahar Abdelnabi Mario Fritz WIGM 68 219 0 16 Jul 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 314 5,828 0 03 Dec 2019
Detecting and Simulating Artifacts in GAN Fake Images Xu-Yao Zhang Svebor Karaman Shih-Fu Chang 96 488 0 15 Jul 2019
SinGAN: Learning a Generative Model from a Single Natural Image Tamar Rott Shaham Tali Dekel T. Michaeli GAN VLM 108 843 0 02 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 606 10,590 0 12 Dec 2018
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 485 43,694 0 17 Sep 2014