AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis

4 August 2024

Papers citing "AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis"

7 / 7 papers shown

Title
Label-Free Concept Bottleneck Models Tuomas P. Oikarinen Subhro Das Lam M. Nguyen Tsui-Wei Weng 54 167 0 12 Apr 2023
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 84 655 0 21 Feb 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 191 9,946 0 17 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 605 28,659 0 26 Feb 2021
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 79 801 0 09 Jul 2020
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification Yutong Xie Jianpeng Zhang Yong-quan Xia Chunhua Shen 31 266 0 08 Mar 2019
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 131 9,266 0 14 Dec 2015