NLP 244Advanced Machine Learning for Natural Language Processing
Covers advanced deep machine learning models and algorithms for Natural Language Processing, such as transformers, pre-trained large language models, contextual embeddings, multi-modal embeddings, mullti-task learning, and reinforcement learning. Provides both theoretical and intuitive understanding of NLP learning models.
Prerequisite(s): NLP 243 or CSE 244B. Enrollment is restricted to natural language processing graduate students and computer science and engineering doctoral students, or by permission of instructor.
- Enroll in lecture and associated discussion section.
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When it runs
Winter 2027Open Winter 2027
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 50 | Lecture | Asynchronous | — | Staff | Open 0/35 |
Winter 2026Open Winter 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 50 | Lecture | Tue Thu 1:30pm–3:05pm | SiliconValleyCtr | Y. Zhang | Open 29/35 |
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