My children broke up from school this past weekend, which seems as good a reason as any to call this ‘end of term’ for The Morning Paper. I’ll be taking a break until the New Year, topping up my reading lists and getting ready for a whole new crop of papers and discoveries. The Morning Paper will resume on Monday 6th January.

Since term began on the 19th August we’ve looked at 50 different papers, and I had the pleasure of attending VLDB and HPTS in person as well. I learned a ton! I hope you found something you enjoyed in the paper selections as well.

Here’s a small selection of my personal highlights from the term, in case you missed any of them (in the order in which they originally appeared on the blog):

• Procella: unifying and serving analytical data at YouTube
• The secret-sharer: evaluating and testing unintended memorization in neural networks
• 150 successful machine learning models: lessons learned at Booking.com
• Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
• Local-first software: you own your data, in spite of the cloud
• Mergeable replicated data types
• Declarative assembly of web applications from pre-defined concepts (because it made me think hard!)
• How do committees invent? (Yes, we only looked at that last week, but I love these older papers with their clear and direct writing styles)

I’m looking forward to starting another decade of learning as we roll into 2020!

Thanks, Adrian.