Your Daily AI Research tl;dr - 2022-10-26 🧠

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. "We propose a novel method for pre-training text-toimage generation model on image-only datasets." "We present our techniques to train a) a policy that can perform robust dexterous manipulation on an anthropomorphic robot hand and b) a robust pose estimator suitable for providing reliable real-time information on the state of the object being manipulated." The best paper award goes to Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh for their paper called "On the Versatile Uses of Partial Distance Correlation in Deep Learning". "In this paper, we revisit a (less widely known) from statistics, called distance correlation (and its partial variant), designed to evaluate correlation between feature spaces of different dimensions."