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Chih-Kuan Yeh
Chih-Kuan Yeh
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Title
Cited by
Cited by
Year
On the (In)fidelity and Sensitivity for Explanations
CK Yeh, CY Hsieh, AS Suggala, D Inouye, P Ravikumar
Advances in Neural Information Processing Systems, 2019, 2019
4102019
Multi-label zero-shot learning with structured knowledge graphs
CW Lee, W Fang, CK Yeh, YCF Wang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3172018
Learning Deep Latent Spaces for Multi-Label Classification.
CK Yeh, WC Wu, WJ Ko, YCF Wang
AAAI, 2838-2844, 2017
2982017
On Completeness-Aware Concept-Based Explanations in Deep Neural Networks
CK Yeh, B Kim, SO Arik, CL Li, T Pfister, P Ravikumar
Advances in Neural Information Processing Systems, 2020, 2020
277*2020
Representer point selection for explaining deep neural networks
CK Yeh, J Kim, IEH Yen, PK Ravikumar
Advances in neural information processing systems, 2018, 9291-9301, 2018
2302018
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
2112023
Order-free rnn with visual attention for multi-label classification
SF Chen, YC Chen, CK Yeh, YC Wang
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
1582018
Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes
CY Hsieh, CL Li, CK Yeh, H Nakhost, Y Fujii, A Ratner, R Krishna, CY Lee, ...
ACL 2023, 2023
1272023
Evaluations and methods for explanation through robustness analysis
CY Hsieh, CK Yeh, X Liu, P Ravikumar, S Kim, S Kumar, CJ Hsieh
International Conference on Representation Learning 2021, 2020
512020
Automatic bridge bidding using deep reinforcement learning
CK Yeh, CY Hsieh, HT Lin
IEEE Transactions on Games 10 (4), 365-377, 2018
482018
Minimizing flops to learn efficient sparse representations
B Paria, CK Yeh, IEH Yen, N Xu, P Ravikumar, B Póczos
International Conference on Learning Representation 2020, 2020
462020
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
CK Yeh, J Chen, C Yu, D Yu
International Conference on Representation Learning 2019, 2018
412018
Deep generative models for weakly-supervised multi-label classification
HM Chu, CK Yeh, YCF Wang
Proceedings of the European Conference on Computer Vision (ECCV), 400-415, 2018
402018
Faith-Shap: The Faithful Shapley Interaction Index
CP Tsai, CK Yeh, P Ravikumar
Journal of Machine Learning Research, 2022
30*2022
Human-Centered Concept Explanations for Neural Networks
CK Yeh, B Kim, P Ravikumar
IOS Press, 2022
25*2022
First is Better Than Last for Language Data Influence
CK Yeh, A Taly, M Sundararajan, F Liu, P Ravikumar
NeurIPS 2022, 2022
14*2022
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
CK Yeh, KY Lee, F Liu, P Ravikumar
International Conference on Artificial Intelligence and Statistics 2022, 2022
92022
Concept Gradient: Concept-based Interpretation Without Linear Assumption
A Bai, CK Yeh, P Ravikumar, NYC Lin, CJ Hsieh
International Conference on Representation Learning 2023, 2022
82022
Objective criteria for explanations of machine learning models
CK Yeh, P Ravikumar
Applied AI Letters 2 (4), e57, 2021
32021
Sample based explanations via generalized representers
CP Tsai, CK Yeh, P Ravikumar
Advances in Neural Information Processing Systems 36, 2024
22024
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