Chih-Kuan Yeh

44 papers A* 12A 2B 1C 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning.
NAACL (Findings)
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly
2024 J jnl
Scalable Multi-Domain Adaptation of Language Models using Modular Experts.
CoRR
Peter Schafhalter, Shun Liao, Yanqi Zhou, Chih-Kuan Yeh, Arun Kandoor, James Laudon
2024 J jnl
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models?
CoRR
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly
2023 A* conf
Concept Gradient: Concept-based Interpretation Without Linear Assumption.
ICLR
Andrew Bai, Chih-Kuan Yeh, Neil Y. C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh
2023 — conf
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.
ACL (Findings)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.
CoRR
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Faith-Shap: The Faithful Shapley Interaction Index.
J. Mach. Learn. Res.
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2023 A* conf
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.
NeurIPS
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
2023 J jnl
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.
CoRR
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
2023 A* conf
Sample based Explanations via Generalized Representers.
NeurIPS
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2023 J jnl
Sample based Explanations via Generalized Representers.
CoRR
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2022 J jnl
Concept Gradient: Concept-based Interpretation Without Linear Assumption.
CoRR
Andrew Bai, Chih-Kuan Yeh, Pradeep Ravikumar, Neil Y. C. Lin, Cho-Jui Hsieh
2022 J jnl
Faith-Shap: The Faithful Shapley Interaction Index.
CoRR
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2022 A* conf
First is Better Than Last for Language Data Influence.
NeurIPS
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar
2022 J jnl
First is Better Than Last for Training Data Influence.
CoRR
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar
2022 J jnl
Human-Centered Concept Explanations for Neural Networks.
CoRR
Chih-Kuan Yeh, Been Kim, Pradeep Ravikumar
2022 A conf
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations.
AISTATS
Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar
2022 J jnl
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations.
CoRR
Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar
2021 A* conf
Evaluations and Methods for Explanation through Robustness Analysis.
ICLR
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
2021 — ch.
Human-Centered Concept Explanations for Neural Networks.
Neuro-Symbolic Artificial Intelligence
Chih-Kuan Yeh, Been Kim, Pradeep Ravikumar
2020 J jnl
Evaluations and Methods for Explanation through Robustness Analysis.
CoRR
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
2020 A* conf
Minimizing FLOPs to Learn Efficient Sparse Representations.
ICLR
Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos
2020 J jnl
Minimizing FLOPs to Learn Efficient Sparse Representations.
CoRR
Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos
2020 A* conf
On Completeness-aware Concept-Based Explanations in Deep Neural Networks.
NeurIPS
Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Tomas Pfister, Pradeep Ravikumar
2019 J jnl
How Sensitive are Sensitivity-Based Explanations?
CoRR
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
2019 J jnl
On Concept-Based Explanations in Deep Neural Networks.
CoRR
Chih-Kuan Yeh, Been Kim, Sercan Ömer Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister
2019 A* conf
On the (In)fidelity and Sensitivity of Explanations.
NeurIPS
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar
2019 — conf
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching.
ICLR (Poster)
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
2018 J jnl
Automatic Bridge Bidding Using Deep Reinforcement Learning.
IEEE Trans. Games
Chih-Kuan Yeh, Cheng-Yu Hsieh, Hsuan-Tien Lin
2018 — conf
Deep Generative Models for Weakly-Supervised Multi-Label Classification.
ECCV (2)
Hong-Min Chu, Chih-Kuan Yeh, Yu-Chiang Frank Wang
2018 A* conf
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs.
CVPR
Chung-wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang
2018 A* conf
Order-Free RNN With Visual Attention for Multi-Label Classification.
AAAI
Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang
2018 A* conf
Representer Point Selection for Explaining Deep Neural Networks.
NeurIPS
Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar
2018 J jnl
Representer Point Selection for Explaining Deep Neural Networks.
CoRR
Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar
2018 J jnl
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching.
CoRR
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
2017 J jnl
Generative-Discriminative Variational Model for Visual Recognition.
CoRR
Chih-Kuan Yeh, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang
2017 A* conf
Learning Deep Latent Space for Multi-Label Classification.
AAAI
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang
2017 J jnl
Learning Deep Latent Spaces for Multi-Label Classification.
CoRR
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang
2017 J jnl
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs.
CoRR
Chung-wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang
2017 J jnl
Order-Free RNN with Visual Attention for Multi-Label Classification.
CoRR
Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang
2016 B conf
An Improved Tax Scheme for Selfish Routing.
ISAAC
Te-Li Wang, Chih-Kuan Yeh, Ho-Lin Chen
2016 A conf
Automatic Bridge Bidding Using Deep Reinforcement Learning.
ECAI
Chih-Kuan Yeh, Hsuan-Tien Lin
2016 J jnl
Automatic Bridge Bidding Using Deep Reinforcement Learning.
CoRR
Chih-Kuan Yeh, Hsuan-Tien Lin
2016 C conf
Learning graph fusion for query and database specific image retrieval.
MMSP
Chih-Kuan Yeh, Wei-Chieh Wu, Yu-Chiang Frank Wang