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Hsuan-Tien Lin

National Taiwan University

Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration


Nov 03, 2021
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin

* NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications 

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A Unified View of cGANs with and without Classifiers


Nov 01, 2021
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin

* Accepted by NeurIPS 2021 

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Active Refinement for Multi-Label Learning: A Pseudo-Label Approach


Sep 29, 2021
Cheng-Yu Hsieh, Wei-I Lin, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama

* A preliminary version appeared in the Workshop on Learning from Limited Labeled Data @ ICLR 2019 

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On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition


Jun 06, 2021
Ching-Yuan Bai, Hsuan-Tien Lin, Colin Raffel, Wendy Chih-wen Kan

* In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2021 

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Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination


Feb 16, 2021
Ashesh, Buo-Fu Chen, Treng-Shi Huang, Boyo Chen, Chia-Tung Chang, Hsuan-Tien Lin


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Cold-start Active Learning through Self-supervised Language Modeling


Oct 22, 2020
Michelle Yuan, Hsuan-Tien Lin, Jordan Boyd-Graber

* Published in EMNLP 2020 

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360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales


Sep 15, 2020
Ashesh Mishra, Hsuan-Tien Lin


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Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels


Jul 07, 2020
Yu-Ting Chou, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama

* Accepted at ICML 2020 

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SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning


May 24, 2020
Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, Yu Tsao


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Learning from Label Proportions with Consistency Regularization


Oct 29, 2019
Kuen-Han Tsai, Hsuan-Tien Lin


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Attention-based Deep Tropical Cyclone Rapid Intensification Prediction


Sep 25, 2019
Ching-Yuan Bai, Buo-Fu Chen, Hsuan-Tien Lin


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Active Deep Q-learning with Demonstration


Dec 06, 2018
Si-An Chen, Voot Tangkaratt, Hsuan-Tien Lin, Masashi Sugiyama


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Cost-Sensitive Reference Pair Encoding for Multi-Label Learning


Oct 26, 2018
Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin

* Accepted in 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018 

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Deep Learning with a Rethinking Structure for Multi-label Classification


Feb 05, 2018
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin


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Compatibility Family Learning for Item Recommendation and Generation


Dec 02, 2017
Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin, Min Sun

* 9 pages, accepted to AAAI 2018 

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Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification


Nov 14, 2017
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin


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Soft Methodology for Cost-and-error Sensitive Classification


Oct 26, 2017
Te-Kang Jan, Da-Wei Wang, Chi-Hung Lin, Hsuan-Tien Lin

* A shorter version appeared in KDD '12 

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libact: Pool-based Active Learning in Python


Oct 01, 2017
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin


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Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking


Aug 24, 2017
Wei-Yuan Shen, Hsuan-Tien Lin

* a shorter version was presented in ACML 2013 

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Cost-Sensitive Label Embedding for Multi-Label Classification


Aug 05, 2017
Kuan-Hao Huang, Hsuan-Tien Lin


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Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation


Nov 16, 2016
Yu-An Chung, Hsuan-Tien Lin


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Can Active Learning Experience Be Transferred?


Aug 02, 2016
Hong-Min Chu, Hsuan-Tien Lin

* 10 pages, 8 figs, 4 tables, conference 

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Automatic Bridge Bidding Using Deep Reinforcement Learning


Jul 12, 2016
Chih-Kuan Yeh, Hsuan-Tien Lin

* 8 pages, 1 figure, 2016 ECAI accepted 

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Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning


May 24, 2016
Yu-An Chung, Hsuan-Tien Lin, Shao-Wen Yang


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Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA


Oct 12, 2015
Chun-Liang Li, Hsuan-Tien Lin, Chi-Jen Lu


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An Online Boosting Algorithm with Theoretical Justifications


Jun 27, 2012
Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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