The aim of this journal club is to discuss any subject related to deep learning and machine learning. This is an informal event with the aim of promoting discussions about the state of the art and other topics.
There will be two speakers per session. Material to be presented can be based on an upcoming paper, an interesting blog-post, a new code library and so forth.
- Meetings are on the 3rd Monday of every month from 4-5pm unless specified.
| Date | Discussion leaders | Paper/Topic | Location |
|---|---|---|---|
| 21/08/2017 4-5pm | Jorge Cardoso Felix Bragman |
YOLO9000: Bester, Faster, Stronger Overcoming catastrophic forgetting in neural networks |
Engineering Front Building Executive Suite 1.03 |
| 18/09/2017 2-3pm | Lorenz Berger Mark Graham |
Learning from Simulated and Unsupervised Images through Adversarial Training Synthetic Medical Images from Dual Generative Adversarial Networks |
Engineering Front Building Executive Suite 1.03 |
| 16/10/2017 4-5pm | Carole Sudre Wenqi Li |
What uncertainties do we need in Bayesian deep learning for computer vision? Learning multiple visual domains with residual adapters |
Malet Place Engineering Building 1.04 |
| 20/11/2017 4-5pm | TBC TBC |
TBC | TBC |