Hsuan-Tien Lin
National Taiwan University
H-index: 34
Asia-Taiwan
Top articles of Hsuan-Tien Lin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis | Oscar Chew Hsuan-Tien Lin Kai-Wei Chang Kuan-Hao Huang | 2024 | |
Enhancing Label Sharing Efficiency in Complementary-Label Learning with Label Augmentation | arXiv preprint arXiv:2305.08344 | Wei-I Lin Gang Niu Hsuan-Tien Lin Masashi Sugiyama | 2023/5/15 |
From SMOTE to Mixup for Deep Imbalanced Classification | Wei-Chao Cheng Tan-Ha Mai Hsuan-Tien Lin | 2023/12/1 | |
CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels | arXiv preprint arXiv:2305.08295 | Hsiu-Hsuan Wang Wei-I Lin Hsuan-Tien Lin | 2023/5/15 |
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference | arXiv e-prints | Vo Nguyen Le Duy Hsuan-Tien Lin Ichiro Takeuchi | 2023/10 |
Learning key steps to attack deep reinforcement learning agents | Machine Learning | Chien-Min Yu Ming-Hsin Chen Hsuan-Tien Lin | 2023/5 |
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance | arXiv preprint arXiv:2307.04081 | Paul Kuo-Ming Huang Si-An Chen Hsuan-Tien Lin | 2023/7/9 |
Semi-Supervised Domain Adaptation with Source Label Adaptation | Yu-Chu Yu Hsuan-Tien Lin | 2023 | |
Re-Benchmarking Pool-Based Active Learning for Binary Classification | arXiv preprint arXiv:2306.08954 | Po-Yi Lu Chun-Liang Li Hsuan-Tien Lin | 2023/6/15 |
Reduction from complementary-label learning to probability estimates | Wei-I Lin Hsuan-Tien Lin | 2023/5/25 | |
Improving conditional score-based generation with calibrated classification and joint training | Paul Kuo-Ming Huang Si-An Chen Hsuan-Tien Lin | 2022/11/29 | |
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection | arXiv preprint arXiv:2210.12231 | Andrew Bai Cho-Jui Hsieh Wendy Kan Hsuan-Tien Lin | 2022/10/21 |
Accurate and Clear Quantitative Precipitation Nowcasting Based on a Deep Learning Model with Consecutive Attention and Rain-Map Discrimination | Artificial Intelligence for the Earth Systems | Ashesh Ashesh Chia-Tung Chang Buo-Fu Chen Hsuan-Tien Lin Boyo Chen | 2022/7 |
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 | 2022/7 | |
Improving clustering uncertainty-weighted embeddings for active domain adaptation | Sheng-Feng Wu Hsuan-Tien Lin | 2022/12/1 | |
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration | arXiv preprint arXiv:2111.02316 | Si-An Chen Chun-Liang Li Hsuan-Tien Lin | 2021/11/3 |
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach | arXiv preprint arXiv:2109.14676 | Cheng-Yu Hsieh Wei-I Lin Miao Xu Gang Niu Hsuan-Tien Lin | 2021/9/29 |
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition | Ching-Yuan Bai Hsuan-Tien Lin Colin Raffel Wendy Chi-wen Kan | 2021/8/14 | |
Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination | arXiv preprint arXiv:2102.08175 | Buo-Fu Chen Treng-Shi Huang Boyo Chen Chia-Tung Chang Hsuan-Tien Lin | 2021/2/16 |
Adaptive and generative zero-shot learning | International Conference on Learning Representations | Yu-Ying Chou Hsuan-Tien Lin Tyng-Luh Liu | 2021 |
Co-Authors
