Chen, Chaofan

13 publications

NeurIPS 2025 ProtoPairNet: Interpretable Regression Through Prototypical Pair Reasoning Rose Gurung, Ronilo Ragodos, Chiyu Ma, Tong Wang, Chaofan Chen
AAAI 2025 Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning Chaofan Chen, Xiaoshan Yang, Changsheng Xu
CVPR 2025 Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time Jon Donnelly, Zhicheng Guo, Alina Jade Barnett, Hayden McTavish, Chaofan Chen, Cynthia Rudin
CVPRW 2024 FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography Julia Yang, Alina Jade Barnett, Jon Donnelly, Satvik Kishore, Jerry Fang, Fides Regina Schwartz, Chaofan Chen, Joseph Y. Lo, Cynthia Rudin
NeurIPS 2024 Interpretable Image Classification with Adaptive Prototype-Based Vision Transformers Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen
NeurIPSW 2024 This Looks like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin
CVPR 2023 Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition Yuyang Wanyan, Xiaoshan Yang, Chaofan Chen, Changsheng Xu
NeurIPS 2023 This Looks like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin
CVPR 2022 Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes Jon Donnelly, Alina Jade Barnett, Chaofan Chen
CVPR 2021 ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma
NeurIPS 2019 This Looks like That: Deep Learning for Interpretable Image Recognition Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan K Su
AISTATS 2018 An Optimization Approach to Learning Falling Rule Lists Chaofan Chen, Cynthia Rudin
AAAI 2018 Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin