ICICLE: Interpretable Class Incremental Continual Learning

14 March 2023

Dawid Rymarczyk

Joost van de Weijer

Bartosz Zieliñski

Bartlomiej Twardowski

CLL

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Papers citing "ICICLE: Interpretable Class Incremental Continual Learning"

21 / 21 papers shown

Title
Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu Haoyu Han Zhe Tao Hantao Yao Changsheng Xu CLL 55 0 0 30 Mar 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time J. Donnelly Zhicheng Guo A. Barnett Hayden McTavish Chaofan Chen Cynthia Rudin 47 0 0 03 Mar 2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models Susmit Agrawal Deepika Vemuri S. Paul Vineeth N. Balasubramanian CLL 60 0 0 27 Feb 2025
Continually Learning Structured Visual Representations via Network Refinement with Rerelation Zeki Doruk Erden Boi Faltings CLL 57 0 0 20 Feb 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models Khawla Elhadri Tomasz Michalski Adam Wróbel Jorg Schlotterer Bartosz Zieliñski C. Seifert 79 0 0 13 Feb 2025
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 43 0 0 16 Sep 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning Dipam Goswami Albin Soutif--Cormerais Yuyang Liu Sandesh Kamath Bartlomiej Twardowski J. Weijer AAML 25 1 0 29 May 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 14 7 0 23 May 2024
Continual Learning for Smart City: A Survey Li Yang Zhipeng Luo Shi-sheng Zhang Fei Teng Tian-Jie Li HAI 27 6 0 01 Apr 2024
Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration Shu Zhao Xiaohan Zou Tan Yu Huijuan Xu 25 1 0 17 Mar 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 20 5 0 09 Feb 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 42 10 0 28 Dec 2023
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models Kyra Ahrens Hans Hergen Lehmann Jae Hee Lee Stefan Wermter CLL 18 7 0 13 Dec 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 17 14 0 16 Aug 2023
A Protocol for Continual Explanation of SHAP Andrea Cossu Francesco Spinnato Riccardo Guidotti D. Bacciu CLL FAtt 6 1 0 12 Jun 2023
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction Dawid Rymarczyk D. Dobrowolski Tomasz Danel 22 3 0 07 Oct 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 55 112 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 31 97 0 06 Dec 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 163 174 0 02 Mar 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 137 1,599 0 02 Feb 2020
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