Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation

9 December 2023

Papers citing "Identifying and Mitigating Model Failures through Few-shot CLIP-aided Diffusion Generation"

6 / 6 papers shown

Title
Learning from Reasoning Failures via Synthetic Data Generation Gabriela Ben-Melech Stan Estelle Aflalo Avinash Madasu Vasudev Lal Phillip Howard SyDa LRM 130 0 0 20 Apr 2025
Model editing for distribution shifts in uranium oxide morphological analysis Davis Brown Cody Nizinski Madelyn Shapiro Corey Fallon Tianzhixi Yin Henry Kvinge Jonathan Tu 93 0 0 22 Jul 2024
What do we learn from inverting CLIP models? Hamid Kazemi Atoosa Malemir Chegini Jonas Geiping Soheil Feizi Tom Goldstein 55 6 0 05 Mar 2024
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 131 4 0 05 Dec 2023
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 342 4,109 0 17 Jun 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,197 0 16 Feb 2016