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Davis Summarizes Papers

Davis Blalock

I go through all the machine learning arXiv submissions each week and summarize 10 to 20 of my favorites. Free forever and read by thousands of ML researchers and practitioners.

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Substack
PricingOnly free issuesPublishesWeekly
Issues93SubscribersRead dblalock.substack.com

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Latest Issues

Recent posts by this newsletter. Browse the email archive.

2023-11-26 arXiv roundup: Big potential wins, 1 bit per parameter, Simplifying transformers

#### Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication

4 months ago
23
0

2023-11-19 arXiv roundup: Inverse-free inverse Hessians, Faster LLMs, Closed-form diffusion

A fundamental result in queueing theory is that, if items enter the queue faster than they’re processed, the length of the queue tends to infinity. Just a fun fact that, uh, has nothing to do with me keeping up papers lately.

4 months ago
24
0

2023-10-16 arXiv roundup: Cornucopia of easy (claimed) wins for LLMs

Also, I was on the AI Stories podcast! In case anyone assumed I was incredibly handsome, this is the perfect chance to disillusion yourself.

5 months ago
19
4

2023-9 arXiv roundup: A bunch of good ML systems and Empirical science papers

Got behind the curve again and ended up taking me more than a week to catch up. Y’all need to not write so many papers…

6 months ago
27
0

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