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Machine Learning Paper Club with nPlan

A repository of papers discussed at nPlan's Machine Learning Paper Club.

Joining Instructions

Paper Club is now remote, with an in-person session approximately every 4 weeks. As always, Thursdays 12h30 London, but via webinar or in our office in Whitechapel. During the session feel free to ask and answer questions or make a comment about the paper. This is a discussion rather than a presentation. Bear in mind that these meetings may be recorded for dissemination purposes.

Next meetup's paper

FOR IN-PERSON SESSIONS: IF YOU ARE ATTENDING IN PERSON PLEASE RSVP ON OUR MEETUP PAGE SO WE CAN GET A HEADCOUNT FOR FOOD AND DRINKS. THE ADDRESS FOR THE EVENT WILL BE ON THE MEETUP PAGE.

Supplementary material

For those new to machine learning, these are some recommended reading material:

Transformer-related resources:

The wide and deep model implementation that Carlos presented can be found here https://github.com/caledezma/wide_deep_model. Why not download it, play with it, and let us know your findings at paper club?

The demo for Platt scaling in calibration can be found here https://github.com/caledezma/calibration_scaling_demo. Feel free to contribute to it, we might make a push to TensorFlow with a Platt Scaling layer!

YouTube channel

We regularly record the presentations made during the Meetup (subject to the presenter's approval). These videos are then uploaded to our YouTube channel so that those that can't attend are still able to profit from the presentations. If you'd like to stay up to date with the presentations, just hit the subscribe button!

Paper history

Past papers discussed in Paper Club meetings:

-[09/02/2023] Peter Presents Zero-shot Causal Learning By Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec