Language Guided Concept Bottleneck Models for Interpretable Continual Learning

30 March 2025

Papers citing "Language Guided Concept Bottleneck Models for Interpretable Continual Learning"

22 / 22 papers shown

Title
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 66 26 0 18 Nov 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 179 29 0 13 Sep 2023
Learning Bottleneck Concepts in Image Classification Bowen Wang Liangzhi Li Yuta Nakashima Hajime Nagahara SSL 73 43 0 20 Apr 2023
Label-Free Concept Bottleneck Models Tuomas P. Oikarinen Subhro Das Lam M. Nguyen Tsui-Wei Weng 64 167 0 12 Apr 2023
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning Zhuowei Li Long Zhao Zizhao Zhang Han Zhang Diya Liu Ting Liu Dimitris N. Metaxas CLL VLM 54 21 0 16 Mar 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 67 120 0 23 Nov 2022
CLIP model is an Efficient Continual Learner Vishal Thengane Salman Khan Munawar Hayat Fahad Shahbaz Khan BDL VLM CLL 131 47 0 06 Oct 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Zifeng Wang Zizhao Zhang Sayna Ebrahimi Ruoxi Sun Han Zhang ... Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VLM VPVLM 102 485 0 10 Apr 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 84 757 0 16 Dec 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 763 28,659 0 26 Feb 2021
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 73 674 0 28 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 460 40,217 0 22 Oct 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 94 807 0 09 Jul 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 544 41,106 0 28 May 2020
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 71 510 0 16 Apr 2019
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded Ramprasaath R. Selvaraju Stefan Lee Yilin Shen Hongxia Jin Shalini Ghosh Larry Heck Dhruv Batra Devi Parikh FAtt VLM 51 254 0 11 Feb 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 185 1,438 0 02 Dec 2018
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 108 1,139 0 28 Nov 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 113 938 0 20 Jun 2018
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 298 7,410 0 02 Dec 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 269 4,357 0 29 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014