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authorId(s): 3438923
Author(s): Chih-Kuan Yeh
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398
On the (In)fidelity and Sensitivity for Explanations.
Chih-Kuan Yeh, Cheng-Yu Hsieh, ..., Pradeep Ravikumar
2019
382
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Cheng-Yu Hsieh, Chun-Liang Li, ..., Tomas Pfister
2023
271
Multi-label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee, Wei Fang, ..., Y. Wang
2017
267
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh, Been Kim, ..., Pradeep Ravikumar
2019
228
Representer Point Selection for Explaining Deep Neural Networks
Chih-Kuan Yeh, Joon Sik Kim, ..., Pradeep Ravikumar
2018
138
Learning Deep Latent Spaces for Multi-Label Classification
Chih-Kuan Yeh, Wei-Chieh Wu, ..., Y. Wang
2017
136
Order-Free RNN with Visual Attention for Multi-Label Classification
Shang-Fu Chen, Yi-Chen Chen, ..., Y. Wang
2017
122
Learning Deep Latent Space for Multi-Label Classification
Chih-Kuan Yeh, Wei-Chieh Wu, ..., Y. Wang
2017
56
Evaluations and Methods for Explanation through Robustness Analysis
Cheng-Yu Hsieh, Chih-Kuan Yeh, ..., Cho-Jui Hsieh
2019
55
Minimizing FLOPs to Learn Efficient Sparse Representations
Biswajit Paria, Chih-Kuan Yeh, ..., I. E. Yen
2020

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