Yeh, Chih-Kuan

15 publications

ICLR 2023 Concept Gradient: Concept-Based Interpretation Without Linear Assumption Andrew Bai, Chih-Kuan Yeh, Neil Y.C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh

JMLR 2023 Faith-Shap: The Faithful Shapley Interaction Index Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar

NeurIPS 2023 Order Matters in the Presence of Dataset Imbalance for Multilingual Learning Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M Dai, Behrooz Ghorbani

NeurIPS 2023 Sample Based Explanations via Generalized Representers Che-Ping Tsai, Chih-Kuan Yeh, Pradeep K. Ravikumar

AISTATS 2022 Threading the Needle of on and Off-Manifold Value Functions for Shapley Explanations Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar

NeurIPS 2022 First Is Better than Last for Language Data Influence Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep K. Ravikumar

ICLR 2021 Evaluations and Methods for Explanation Through Robustness Analysis Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh

ICLR 2020 Minimizing FLOPs to Learn Efficient Sparse Representations Biswajit Paria, Chih-Kuan Yeh, Ian E. H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos

NeurIPS 2020 On Completeness-Aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh, Been Kim, Sercan Arik, Chun-Liang Li, Tomas Pfister, Pradeep K. Ravikumar

NeurIPS 2019 On the (In)fidelity and Sensitivity of Explanations Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Suggala, David I Inouye, Pradeep K Ravikumar

ICLR 2019 Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu

ECCV 2018 Deep Generative Models for Weakly-Supervised Multi-Label Classification Hong-Min Chu, Chih-Kuan Yeh, Yu-Chiang Frank Wang

AAAI 2018 Order-Free RNN with Visual Attention for Multi-Label Classification Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang

NeurIPS 2018 Representer Point Selection for Explaining Deep Neural Networks Chih-Kuan Yeh, Joon Kim, Ian En-Hsu Yen, Pradeep K Ravikumar

AAAI 2017 Learning Deep Latent Space for Multi-Label Classification Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang