Si-An Chen

According to our database, Si-An Chen authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.

Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister

CoRR, 2023

Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance.

Paul Kuo-Ming Huang, Si-An Chen, Hsuan-Tien Lin

CoRR, 2023

TSMixer: An all-MLP Architecture for Time Series Forecasting.

Si-An Chen, Chun-Liang Li, Nate Yoder, Sercan Ö. Arik, Tomas Pfister

CoRR, 2023

Linear Classifier: An Often-Forgotten Baseline for Text Classification.

Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, Chih-Jen Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN.

Si-An Chen, Jie-Jyun Liu, Tsung-Han Yang, Hsuan-Tien Lin, Chih-Jen Lin

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration.

Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin

CoRR, 2021

A Unified View of cGANs with and without Classifiers.

Si-An Chen, Chun-Liang Li, Hsuan-Tien Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Parameter Selection: Why We Should Pay More Attention to It.

Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen, Chih-Jen Lin

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Active deep Q-learning with demonstration.

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

Mach. Learn., 2020

2017

libact: Pool-based Active Learning in Python.

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

CoRR, 2017