Publications

Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar (2022). First is Better than Last for Language Data Influence. To appear In NeurIPS 2022.

Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar (2022). Threading the needle for off-manifold and on-manifold value functions for Shapley Value Explanations. In AISTATS 2022.

Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar (2022). Faith-Shap: The faithful Shapley Interaction Index. In Submission.

Chih-Kuan Yeh, Been Kim, Pradeep Ravikumar (2021). Human-Centered Concept Explanations for Neural Networks. Book Chapter In Neuro-Symbolic Artificial Intelligence– The State of the Art.

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

Chih-Kuan Yeh, Pradeep Ravikumar (2021). Objective criteria for explanations of machine learning models. In Applied AI letters 2021.

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

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

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

Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar (2018). Representer Point Selection for Explaining Deep Neural Networks. In NeurIPS 2018.

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Chih-Kuan Yeh, Cheng-Yu Hsieh, Hsuan-Tien Lin (2018). Automatic Bridge Bidding Using Deep Reinforcement Learning. In IEEE Trasaction of Games 2018 (shorter version in ECAI 2016).

Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang (2018). Multi-Label Zero-Shot Learning With Structured Knowledge Graphs. In CVPR 2018.

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