RDFIA - Master DAC - Sorbonne University
This page contains the practical sessions done for the RDFIA course.
The practical sessions are supervised by Guillaume Jeanneret (jeanneretsanmiguel[at]isir.upmc.fr), Pegah Khayatan (pegah.khayatan[at]isir.upmc.fr), Mathis Koroglu (mathis.koroglu[at]sorbonne-universite.fr), and Kimia Sadreddini (kimia.sadreddini[at]isir.upmc.fr).
- Group 1 (room 14.15 501):
- Group 2 (room 14.15 502):
- Group 3 (room 14.15 407):
- First class: fill the form for being registered in Moodle! -- here
- Mattermost: register here, select RDFIA channel
All coding sessions will be done in Python3 and we'll use several libraries. Here are some useful links if you're rusty:
0: SIFT / Bag of Words / SVM
23 September 2026.
14.15, room 407, 501, and 502.
4PM to 6PM.
Section 1: Basics on deep learning for vision
You need to submit the PDF of 1-ab, 1-cd, and 1-e on Moodle,
deadline is Tuesday the 11 of November 2026 at 23:59PM. See homework instructions here.
1-ab: Intro to Neural Networks
30 September 2026 & 07 October 2026.14-15, room 407, 501, and 502.
4PM to 6PM.
1-cd: Convolutional Neural Networks
14 October 2026 & 21 October 2026.14-15, room 407, 501, and 502.
4PM to 6PM.
1-e: Transformers
04 November 2026.14-15, room 407, 501, and 502.
4PM to 6PM.
Section 2: Deep learning applications
You need to submit the PDF of 2-a, 2-b, 2-c, and 2-de on Moodle,
deadline is Tuesday the 13th of January 2027 at 23:59PM. See homework instructions here.
2-a: Transfer Learning
18 November 2026.14-15, room 407, 501, and 502.
4PM to 6PM.
2-b: Visualization
02 December 2026.14-15, room 407, 501, and 502.
4PM to 6PM.
2-c: Domain Adaptation
09 December 2026.14-15, room 407, 501, and 502.
4PM to 6PM.
2-de: Generative Adversarial Networks
16 December 2026 & 06 January 2027.14-15, room 407, 501, and 502.
4PM to 6PM.
Section 3: Advanced Topics
You need to submit the PDF of 3-a, 3-b, and 3-c on Moodle,
deadline is Tuesday 02 of February 2027 at 23:59PM. See homework instructions here.
3-a: Diffusion Models and Flow Matching
13 January 2027.14-15, room 407, 501, and 502.
4PM to 6PM.
3-b: Bayesian linear regression and introduction to Bayesian NN
20 January 2027.14-15, room 407, 501, and 502.
4PM to 6PM.
3-c: Applications of uncertainty
27 January 2027.14-15, room 407, 501, and 502.
4PM to 6PM.