Presentations (and code) for YDATA School of Data Science Bootcamp - Research Seminar 2025
- By students: Yair Reichman, Kaiquan Mah
- Note that in seminars, the class is divided into big groups. In each big group, we have a few pairs. Each pair focuses on a different topic each seminar
| Seminar | Topic | Pair's Objective | Research Paper | Paper URL |
|---|---|---|---|---|
| 1 | Transfer Learning in Neural Networks | Implementing concepts in code to reproduce results | How transferable are features in deep neural networks? (Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson, 2014) | https://arxiv.org/abs/1411.1792 |
| 2 | Adversarial Attacks | Review history and related works | Explaining and Harnessing Adversarial Examples (Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy, 2014) | https://arxiv.org/abs/1412.6572 |
| 3 | Vision Transformers | Summarise the many results from the paper | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby, 2020) | https://arxiv.org/abs/2010.11929 |