Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification

Imagenet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009

Earlier work this paper cites.

Convex analysis and optimization with submodular functions: a tutorial

Original

Francis Bach · 2010

Earlier work this paper cites.

Microsoft coco: Common objects in context

Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014

Earlier work this paper cites.

A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis

Yanping Xue, Rongguo Zhang, Yufeng Deng, Kuan Chen, and Tao Jiang · 2017

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017

Earlier work this paper cites.

Medical image analysis using convolutional neural networks: a review

Syed Muhammad Anwar, Muhammad Majid, Adnan Qayyum, Muhammad Awais, Majdi Alnowami, and Muhammad Khurram Khan · 2018

Earlier work this paper cites.

Distributed deep learning networks among institutions for medical imaging

Ken Chang, Niranjan Balachandar, Carson Lam, Darvin Yi, James Brown, Andrew Beers, Bruce Rosen, Daniel L Rubin, and Jayashree Kalpathy-Cramer · 2018

Cited alongside, same era.

The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Philipp Tschandl, Cliff Rosendahl, and Harald Kittler · 2018

Cited alongside, same era.

Language models are unsupervised multitask learners

Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019

Cited alongside, same era.

Diagnosis of benign and malignant breast lesions on dce-mri by using radiomics and deep learning with consideration of peritumor tissue

Jiejie Zhou, Yang Zhang, Kai-Ting Chang, Kyoung Eun Lee, Ouchen Wang, Jiance Li, Yezhi Lin, Zhifang Pan, Peter Chang, Daniel Chow, et al · 2020

Cited alongside, same era.

Concept bottleneck models

Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, and Percy Liang · 2020

Cited alongside, same era.

Learning transferable visual models from natural language supervision

Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021

Later among the works it cites.

Concept embedding models: Beyond the accuracy-explainability trade-off

Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frederic Precioso, Stefano Melacci, Adrian Weller, et al · 2022

Later among the works it cites.

Label-free concept bottleneck models

Tuomas Oikarinen, Subhro Das, Lam M Nguyen, and Tsui-Wei Weng · 2023

Closest in time.

Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, and Mark Yatskar · 2023

Closest in time.

Llama: Open and efficient foundation language models

Original

Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023