Detecting Generative Parroting through Overfitting Masked Autoencoders

Detecting Generative Parroting through Overfitting Masked Autoencoders

27 March 2024

Saeid Asgari Taghanaki

Joseph Lambourne

Papers citing "Detecting Generative Parroting through Overfitting Masked Autoencoders"

7 / 7 papers shown

Title
SolidGen: An Autoregressive Model for Direct B-rep Synthesis P. Jayaraman Joseph G. Lambourne Nishkrit Desai Karl D. D. Willis Aditya Sanghi Nigel Morris 69 52 0 26 Mar 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 110 620 0 15 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 408 15,486 0 20 Dec 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 391 4,941 0 24 Feb 2021
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design Ari Seff Yaniv Ovadia Wenda Zhou Ryan P. Adams AI4CE 3DV 54 68 0 16 Jul 2020
A Non-Parametric Test to Detect Data-Copying in Generative Models Casey Meehan Kamalika Chaudhuri S. Dasgupta 47 63 0 12 Apr 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 58 59 0 10 Jan 2020