https://blog.alexalemi.com/kl-is-all-you-need.html KL is All You NeedAlexander A. Alemi2024-01-08 “…the core of essentially all modern machine learning methods is a single universal objective: Kullback-Leibler (KL) divergence minimization…. Understand KL, understand the
What I Read: Causal Inference
https://thegradient.pub/causal-inference-connecting-data-and-reality/ Causal Inference: Connecting Data and RealityWenwen Ding04.Sep.2022 “Causal inference is a theory that describes, discriminates, and measures causal relationships, developed from statistics.”
What I Read: Bootstrapping Labels
https://thegradient.pub/bootstrapping-labels-via-_-supervision-human-in-the-loop/ Bootstrapping Labels via _ Supervision & Human-In-The-LoopEugene Yan05.Mar.2022 “Collecting training labels is a seldom discussed art…. In this write-up, we’ll discuss semi, active, and weakly supervised learning, and see
What I Read: SwAV method
https://m0nads.wordpress.com/2021/01/08/the-swav-method/ The SwAV methodAntonio Ferraioli “The SwAV method is a clustering-based online method whose goal is to learn visual features in an online fashion without supervision.”
What I Read: Production with Deep Semi-Supervised Learning
https://towardsdatascience.com/from-research-to-production-with-deep-semi-supervised-learning-7caaedc39093 From Research to Production with Deep Semi-Supervised LearningVarun NairSep 25 “Semi-supervised learning (SSL), a subfield that combines both supervised and unsupervised learning, has grown in popularity in the deep
What I Read: Snorkel Tutorial to Predict Multiple Sclerosis
https://medium.com/swlh/a-snorkel-tutorial-using-clinical-notes-to-predict-multiple-sclerosis-severity-scores-e3863801630f A Snorkel Tutorial Using Clinical Notes to Predict Multiple Sclerosis Severity ScoresNLP4HJul 13 “In this tutorial, we will walk through the process of using Snorkel to generate labels for