Literature reviews are usually quite uncontroversial. But this is not the case of “Reviewing studies of degrowth: Are claims matched by data, methods and policy analysis?”, a recent paper by Ivan Savin and Jeroen van den Bergh, two economists at the Autonomous University of Barcelona. “The piece sparked a meltdown,” explains Glen Peters, who witnessed the online stir […]| Timothée Parrique
This paper was written by Calla Bowen and Jody Audley from Catch22. The post How do an Individual’s Criminogenic Needs change throughout their time with the Criminal Justice System? appeared first on Catch22.| Catch22
Learned embeddings often suffer from ’embedding collapse’, where they occupy only a small subspace of the available dimensions. This article explores the causes of embedding collapse, from two-tower models to GNN-based systems, and its impact on model scalability and recommendation quality. We discuss methods to detect collapse and examine recent solutions proposed by research teams at Visa, Facebook AI, and Tencent Ads to address this challenge.| Sumit's Diary
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In recent years, there has been a significant amount of research activity in the graph representation learning domain. These learning methods help in analyzing abstract graph structures in information networks and improve the performances of state-of-the-art machine learning solutions for real-world applications, such as social recommendations, targeted advertising, user search, etc. This article provides a comprehensive introduction to the graph representation learning domain, including comm...| Sumit's Diary
The Mixture-of-Experts (MoE) is a classical ensemble learning technique originally proposed by Jacobs et. al1 in 1991. MoEs have the capability to substantially scale up the model capacity and only introduce small computation overhead. This ability combined with recent innovations in the deep learning domain has led to the wide-scale adoption of MoEs in healthcare, finance, pattern recognition, etc. They have been successfully utilized in large-scale applications such as Large Language Modeli...| Sumit's Diary