Deep Learning: Advanced Models and Methods - UniCT

Computer Science Master's Degree

Explore state-of-the-art architectures, from sequential modeling and vision-language integration to domain adaptation and self-supervised paradigms.

View Schedule Course Info Intro Slides

Course Instructor

Prof. Antonino Furnari

Associate Professor
DMI, University of Catania

Website
Office Hours

Course Details

Location DMI, University of Catania
Format Lectures & Practical Labs (PyTorch)
Intro Slides General introduction (Slides) →
Lectures Tuesdays & Thursdays
17:00–19:00 — Room 127
Focus Advanced Deep Learning Models and Methods
MS Teams Code: cq90ptp
Official Syllabus View on DMI Portal →

Course Schedule

Introduction

Introduction to the Course & Labs
Room 126 Slides Notebook 03/03/26

Sequential & Metric Learning

Recap on Deep Sequential Modeling
Slides on MS Teams 05/03/26
Recap on Deep Sequential Modeling
Slides on MS Teams 17/03/26
Metric Learning
Slides 19/03/26
Metric Learning Lab
Notebook 24/03/26

Distillation & Adaptation

Knowledge Distillation
Slides 26/03/26
Knowledge Distillation Lab
Notebook 14:00-16:00 · Room 24 06/04/26
Domain Adaptation
Slides 07/04/26
Domain Adaptation Lab
Notebook 09/04/26
Aitho Seminar 14/04/26

Self-Supervised Learning

Self-Supervised Learning
Slides on MS Teams 16/04/26
Self-Supervised Learning Lab
Notebook 21/04/26

Prova in Itinere 1

Mid-term assessment covering topics up to Self-Supervised Learning.

23/04/26

Video & Multi-Modal Understanding

Video Understanding
Slides on MS Teams 28/04/26
Video Understanding Lab
Notebook 30/04/26
Vision & Language
Slides on MS Teams 05/05/26
Vision & Language Lab
Notebook 07/05/26

Advanced Models

Advanced Sequential Modeling
Slides 12/05/26
Sequential Modeling Lab
Notebook 19/05/26
Reinforcement Learning
21/05/26
Reinforcement Learning Lab
26/05/26
Seminar: TBA 28/05/26
Seminar: TBA 09/06/26

Prova in Itinere 2

Final assessment covering advanced topics and architectures.

11/06/26