Evolving Interpretable Visual Classifiers with Large Language Models

Evolving Interpretable Visual Classifiers with Large Language Models

15 April 2024

Carl Vondrick

Papers citing "Evolving Interpretable Visual Classifiers with Large Language Models"

8 / 8 papers shown

Title
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery Utkarsh Mall Cheng Perng Phoo Mia Chiquier Bharath Hariharan Kavita Bala Carl Vondrick 69 1 0 17 Feb 2025
Explaining Datasets in Words: Statistical Models with Natural Language Parameters Ruiqi Zhong Heng Wang Dan Klein Jacob Steinhardt 28 6 0 13 Sep 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 44 4 0 28 Dec 2023
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 36 8 0 27 Oct 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
What does a platypus look like? Generating customized prompts for zero-shot image classification Sarah M Pratt Ian Covert Rosanne Liu Ali Farhadi VLM 119 211 0 07 Sep 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 385 4,010 0 28 Jan 2022
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021