Si-An Chen

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Linear Classifiers

Top Venues

Publications

Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. CoRR (2023)
Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, Chih-Jen Lin
Linear Classifier: An Often-Forgotten Baseline for Text Classification. CoRR (2023)
Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, Chih-Jen Lin
Linear Classifier: An Often-Forgotten Baseline for Text Classification. ACL (2) (2023)
Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan Ö. Arik, Tomas Pfister
TSMixer: An all-MLP Architecture for Time Series Forecasting. CoRR (2023)
Si-An Chen, Chun-Liang Li, Sercan Ö. Arik, Nathanael C. Yoder, Tomas Pfister
TSMixer: An All-MLP Architecture for Time Series Forecast-ing. Trans. Mach. Learn. Res. 2023 (2023)
Paul Kuo-Ming Huang, Si-An Chen, Hsuan-Tien Lin
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance. CoRR (2023)
Si-An Chen, Jie-Jyun Liu, Tsung-Han Yang, Hsuan-Tien Lin, Chih-Jen Lin
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN. NAACL-HLT (2022)
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
A Unified View of cGANs with and without Classifiers. CoRR (2021)
Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen, Chih-Jen Lin
Parameter Selection: Why We Should Pay More Attention to It. ACL/IJCNLP (2) (2021)
Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen, Chih-Jen Lin
Parameter Selection: Why We Should Pay More Attention to It. CoRR (2021)
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
A Unified View of cGANs with and without Classifiers. NeurIPS (2021)
Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration. CoRR (2021)
Si-An Chen, Voot Tangkaratt, Hsuan-Tien Lin, Masashi Sugiyama
Active deep Q-learning with demonstration. Mach. Learn. 109 (9-10) (2020)
Si-An Chen, Voot Tangkaratt, Hsuan-Tien Lin, Masashi Sugiyama
Active Deep Q-learning with Demonstration. CoRR (2018)
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin
libact: Pool-based Active Learning in Python. CoRR (2017)