Quarter
Faculty Reference
William Wang
Course Type
Enrollment Code
76372
Location
HFH 1132
Units
2
Day and Time
Monday 5pm-6pm
Course Description

Description: In this seminar, the students will have the opportunities to read latest papers in the fields of natural language processing, machine learning, and artificial intelligence. The papers are typically from ACL, EMNLP, ICML, NIPS, and ICLR conferences, describing recent advances in the areas of Word Embeddings, Relational Learning, Reinforcement Learning, Generation, Dialog, and Computational Social Science etc. Each student is encouraged to lead the discussion of one paper in a quarter, and there are two papers per session. The objective of this seminar is to broaden the scope of existing NLP/ML/AI classes and expose the students to state-of-the-art methods in these fields.