Machine Learning 2026 Spring


News

Content



Date Topic Class Material Extra Material Optional Material
3/6
3/13
3/20
3/27
4/10
4/24
5/8
5/15 Appier Research 團隊演講
5/22
5/29 陳暐教授演講

Homework

The information here is tentative and subject to change. Please read the requirement of each homework before deadline.

# Date Topic Video Slides Code Platform Deadline (UTC+8) TA
HW 1 3/6 LLM Malicious Instruction Defense
HW 2 3/13 AI Agent as an AI Engineer
HW 3 3/20 LLM Fast Inference
HW 4 3/27 Training Transformer
HW 5 4/10 Finetuning without Forgetting
HW 6 4/24 Model Editing
HW 7 5/8 Model Merging
HW 8 5/15 Test-Time Scaling
HW 9 5/22 Flow Matching
HW 10 5/29 Spoken Language Model

Contact

Email: ntu-ml-2026-spring-ta@googlegroups.com

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