Monthly on Wednesday evenings at a local pub. Open to all.
Organisers: Frank Morley (data scientist); Robert Henderson (computer scientist, Fivey Software).
Each month we'll discuss a different paper in the field of machine learning, typically covering a foundational concept, a recent application, or an ethical or policy issue. You'll need to read the paper before the session.
Contact e-mail: rob at robjhen dot com
When: Wednesday 29th January 2025, 6 pm – 8 pm.
Where: The Castle Inn, 36 Castle Street, Cambridge, UK. (Most likely we'll be at one of the large tables upstairs.)
Papers:
We'll discuss a recent social-science application of generative AI, and the ethical issues it raises.
You'll need to read both papers in advance. Ideally please also bring along your own copies of the papers to refer to in the session.
When: Wednesday 26th February 2025, 6 pm – 8 pm.
Where: The Castle Inn, 36 Castle Street, Cambridge, UK. (Most likely we'll be at one of the large tables upstairs.)
Paper: Y. LeCun et. al. Deep Learning. In Nature, 521, 436–444, 2015.
This review paper by the three godfathers of AI
(LeCun,
Bengio, and Hinton) gives a good overview of the field of deep
learning as it was in 2015. It serves as a useful introduction to
the techniques that were state-of-the-art at the time:
convolutional and recurrent neural networks.
You'll need to read the paper in advance. Ideally please also bring along your own copy of the paper to refer to in the session.
Paper: A. Vaswani et. al. Attention is All you Need. In Advances in Neural Information Processing Systems 30, 2017.
Paper: D. E. Rumelhart et. al. Learning representations by back-propagating errors. In Nature, 323, 533–536, 1986.
Papers: