Your Daily AI Research tl;dr — 2022–08–01 🧠

GAUDI: A Neural Architect for Immersive 3D Scene Generation and LocoProp: Enhancing BackProp via Local Loss Optimization

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.

1️⃣ GAUDI: A Neural Architect for Immersive 3D Scene Generation

“A generative model capable of capturing the distribution of complex and realistic 3D scenes that can be rendered immersively from a moving camera”!

Link to the paper: https://arxiv.org/pdf/2207.13751.pdf

Code: https://github.com/apple/ml-gaudi

2️⃣ LocoProp: Enhancing BackProp via Local Loss Optimization

“This paper introduces a general framework of layerwise loss construction for multilayer neural networks that achieves a performance closer to second-order methods while utilizing first-order optimizers only.”

Link to the paper: https://proceedings.mlr.press/v151/amid22a/amid22a.pdf