Your Daily AI Research tl;dr — 2022–07–02 🧠

One simple sentence to know if the paper, code, and news are worth your time.

Welcome to your official daily AI research tl;dr (often with code and news) for AI enthusiasts 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. I will also take this opportunity to share daily exciting news in the field.

Let’s get started with this iteration!

1️⃣ RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness

Improving the Mixup regularization approach by utilizing it as an additional regularizer to the standard cross-entropy loss providing much better accuracy and improving the quality of the predictive uncertainty estimation with out-of-distribution samples.

Link to the paper: https://arxiv.org/abs/2206.14502

Code: https://github.com/FrancescoPinto/RegMixup

2️⃣ 3D-Aware Video Generation

Exploring 4D generative adversarial networks (GANs) that learn unconditional generation of 3D-aware videos with a GAN framework…