https://learner.csie.ntu.edu.tw/ 2026-04-25T08:26:02+00:00 https://learner.csie.ntu.edu.tw/ https://learner.csie.ntu.edu.tw/_media/wiki:dokuwiki.svg text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:ama_session_recording?rev=1725422426&do=diff Here we provide some AMA session recording. 2023/11/25: * Host: Yun-Ye, Cai * Topic: MS application. * YouTube link: <https://www.youtube.com/watch?v=_1eVauKFelQ> 2024/03/11: * Host: Yun-Ye, Cai / Hsuan-Tien, Lin * Topic: MS application. * YouTube link: <https://www.youtube.com/watch?v=FfL63ELt7kg> text/html 2025-11-26T05:09:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:ama_session_youtube_recording_link?rev=1764133750&do=diff Here we provide some AMA session recording. 2023/11/25: * Host: Yun-Ye, Cai * Topic: MS application. * YouTube link: <https://youtu.be/rsmtIUdZI2s> 2024/03/11: * Host: Yun-Ye, Cai / Hsuan-Tien, Lin * Topic: MS application. * YouTube link: <https://youtu.be/3Le_UGAEtFA> 2025/11/25 * Host: Yun-Ye text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:cost-sensitive_classification?rev=1725422426&do=diff Introduction Classification is an important problem in machine learning. It can be used in a variety of applications, such as separating apples, oranges, and bananas automatically. Traditionally, the regular classification setup aims at minimizing the rate of future mis-prediction errors. Nevertheless, in some applications, it is needed to treat different types of mis-prediction errors differently. For instance, in a medical decision system, the cost of mis-predicting a cancerous patient as a h… text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:data_mining_and_machine_learning_competitions?rev=1725422426&do=diff paper Here are the reports from some of the competitions that we have participated in: * ICML Exploration and Exploitation Challenge 2012 (Champion of Phase 1): Ku-Chun Chou and Hsuan-Tien Lin. Balancing between Estimated Reward and Uncertainty during News Article Recommendation for ICML 2012 Exploration and Exploitation Challenge. text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:developement_track_practical_cll?rev=1725422426&do=diff Towards Practical Complementary Label Learning: A Study with Real-World Human Annotators Mentor Wei-I Lin (r10922076@ntu.edu.tw or empennage98@gmail.com) Duration This summer (Jun. - Aug. 2022) What’s the problem? Complementary label learning (CLL) is a weak type of multi-class classification problem where the learning algorithms have access to only complementary labels, classes that an instance does not belong to. We aim to understand how humans behave when asked to provide complementary … text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:development_track_score_based?rev=1725422426&do=diff Semi-supervised Conditional Diffusion/Score-based Generative Models: Exploring Generative Potentials with Limited Supervision Mentor Paul (Kuo-Ming) Huang (b08902072@ntu.edu.tw or paulhuang102701@gmail.com) Duration Three months (Feb. - Apr. 2024, Tentative) text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:development_track?rev=1725422426&do=diff Development Track of CLLab Introduction Hsuan-Tien Lin, 2022/05/10 In 2014, CLLab experimented with the open-source track that aims to recruit students to build open-source machine learning packages. With the help of the members in the open-source track, we successfully built the first version of text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:experimental_codes?rev=1725422426&do=diff Implementation of Online Boosting * code: [snapshot on 2015/04/01] * paper: Shang-Tse Chen, Hsuan-Tien Lin, and Chi-Jen Lu. An online boosting algorithm with theoretical justifications. In Proceedings of the International Conference on Machine Learning (ICML), June 2012. text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:multi-label_classification?rev=1725422426&do=diff Introduction Multiclass classification is an important problem in machine learning. It can be used in a variety of applications, such as organizing documents to different categories automatically. Multi-label classification is an extension of multi-class classification text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:papers?rev=1725422426&do=diff papers * Papers that Professor Hsuan-Tien Lin has co-authored * Chao-Kai Chiang, Chia-Jung Lee and Chi-Jen Lu. Beating Bandits in Gradually Evolving Worlds. COLT 2013. * Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu: Online Optimization with Gradual Variations. COLT 2012. text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:ranking?rev=1725422426&do=diff Introduction Ranking is an important concept in modelling our preferences. We rank hotels by their quality using one star to five stars; we rank baseball teams by their records using pairwise competitions; we rank job applicants by their ability using ordered scores. In machine learning, the ranking concept corresponds to a rich family of important problems, which lend themselves to a wide range of applications from social science to behavioural science to information retrieval. For instance… text/html 2024-09-04T04:00:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://learner.csie.ntu.edu.tw/public:youtube_recording_link?rev=1725422426&do=diff Here we provide some AMA session recording. 2023/11/25: * Host: Yun-Ye, Cai * Topic: MS application. * YouTube link: <https://youtu.be/rsmtIUdZI2s> 2024/03/11: * Host: Yun-Ye, Cai / Hsuan-Tien, Lin * Topic: MS application. * YouTube link: <https://youtu.be/3Le_UGAEtFA>