flâneur

cs.unc.edu/~mbansal/teaching/nlp-comp790-590-spring23.html

cs.unc.edu · 3,227 words · saved by 1 readers

Instructor: Mohit Bansal Units: 3 Lectures: Wed 11am-1.30pm ET, Room SN-115 Office Hours: Wed 1:30pm-2:15pm ET (by appointment) (remote/zoom option) Course Webpage: https://www.cs.unc.edu/~mbansal/teaching/nlp-comp790-590-spring23.html Course Email: nlpcomp790unc -at- gmail.com This course will be based on the connections between the fields of natural language processing (NLP) and its important multimodal connections to computer vision and robotics; it will cover a wide variety of topics in the area of multimodal-NLP such as image/video-based captioning, retrieval, QA, and dialogue; vision+language commonsense; query-based video summarization; text-to-image/video generation; robotic navigation + manipulation instruction execution and generation; unified multimodal and embodied pretraining models (as well as ethics/bias/societal applications + issues). Topics Grading will (tentatively) consist of: For NLP concepts refresher, see: For multimodal NLP concepts, see corresponding lectures

COMP 790/590: Connecting Language to Vision and Robotics (Spring 2023) Instructor: Mohit Bansal Units: 3 Lectures: Wed 11am-1.30pm ET, Room SN-115 Office Hours: Wed 1:30pm-2:15pm ET (by appointment) (remote/zoom option) Course Webpage: https://www.cs.unc.edu/~mbansal/teaching/nlp-comp790-590-spring23.html Course Email: nlpcomp790unc -at- gmail.com Introduction This course will be based on the connections between the fields of natural language processing (NLP) and its important multimodal connections to computer vision and robotics; it will cover a wide variety of topics in the area of multimod

saved by

related reading