0. Course presentation
1. Web document categorization
2.Visual information search
3.Word-image embeddings
4.Indexing
5.Attention mechanism
6.Joint vision-and-language models
7.Summarization
8.Conversational assistants
9.Multimodal Knowledge Dialog Systems
10.Recommendation
There will be aninvited lecturebesides the regular classes.
Jure Leskovec, Anand Rajaraman, Jeff Ullman, “Mining of Massive Datasets”, Cambridge University Press, 2011.
http://www.mmds.org/
Aston Zhang, Zachary Lipton, Mu Li, and Alex Smola, “Dive into Deep Learning”
http://d2l.ai/
Horas por crédito | 28 | ||
Horas p/ semana | Semanas | Horas | |
Aulas práticas e laboratoriais | 24.0 | ||
Aulas teóricas | 24.0 | ||
Avaliação | 2.0 | ||
Estudo | 24.0 | ||
Projectos e trabalhos | 94.0 | ||
Total de Horas | 168 | ||
ECTS | 6.0 |