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CMIC deep learning journal club

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