Visual Concept Connectome (VCC): Open World Concept Discovery and their
Interlayer Connections in Deep Models

Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models

2 April 2024

Richard P. Wildes

Konstantinos G. Derpanis

Papers citing "Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models"

13 / 13 papers shown

Title
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions Tue Cao Nhat X. Hoang Hieu H. Pham P. Nguyen My T. Thai 67 0 0 22 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 91 7 0 06 Feb 2025
Visual Large Language Models for Generalized and Specialized Applications Yifan Li Zhixin Lai Wentao Bao Zhen Tan Anh Dao Kewei Sui Jiayi Shen Dong Liu Huan Liu Yu Kong VLM 83 10 0 06 Jan 2025
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 70 0 0 03 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan S. Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 96 14 0 03 Dec 2024
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG) Yearim Kim Sangyu Han Sangbum Han Nojun Kwak 40 0 0 03 Sep 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models Jaewoo Lee Boyang Li Sung Ju Hwang VLM 33 8 0 16 Jun 2024
Understanding Video Transformers via Universal Concept Discovery M. Kowal Achal Dave Rares Ambrus Adrien Gaidon Konstantinos G. Derpanis P. Tokmakov ViT 27 2 0 19 Jan 2024
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 117 314 0 21 Sep 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 157 181 0 03 Feb 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip H. S. Torr FAtt 41 15 0 23 Jan 2022
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 120 293 0 17 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019