Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class

25 April 2024

Papers citing "Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class"

7 / 7 papers shown

Title
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models Mazda Moayeri Vidhisha Balachandran Varun Chandrasekaran Safoora Yousefi Thomas Fel S. Feizi Besmira Nushi Neel Joshi Vibhav Vineet 13 2 0 17 Oct 2024
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? Megan Richards Polina Kirichenko Diane Bouchacourt Mark Ibrahim VLM 64 11 0 24 Jul 2023
Bayesian Prompt Learning for Image-Language Model Generalization Mohammad Mahdi Derakhshani Enrique Sanchez Adrian Bulat Victor G. Turrisi da Costa Cees G. M. Snoek Georgios Tzimiropoulos Brais Martínez VPVLM VLM 81 34 0 05 Oct 2022
What does a platypus look like? Generating customized prompts for zero-shot image classification Sarah M Pratt Ian Covert Rosanne Liu Ali Farhadi VLM 116 211 0 07 Sep 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 175 263 0 30 May 2022
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,108 0 02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021