Robuta

Are your Meta (Facebook and Instagram) Ads stuck in the learning phase? Many advertisers face challenges with getting their ad sets to move beyond this phase,...

Quantum Learning Ensemble: Fall 2025 Are you curious to explore wacky and wonderful models that describe how the universe behaves at the tiniest scales? Do you...

Abstract page for arXiv paper 2112.13539: Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains

Remote sensing image scene classification with deep learning (DL) is a rapidly growing field that has gained significant attention in the past few years. While...

As Japan's only general academic research institution seeking to create future value in the new discipline of informatics, the National Institute of...

Scene classification is one of the fundamental techniques shared by many basic remote sensing tasks with a wide range of applications. As the demands of...

Find our Software Engineer, Machine Learning job description for Meta located in Sunnyvale, CA, as well as other career opportunities that the company is...

Abstract page for arXiv paper 1902.03545: Task2Vec: Task Embedding for Meta-Learning

Fashion e-commerce has enjoyed an exponential growth in the last few years. A key challenge of the market players is to offer customers a personalized...

Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings...

Feb 4, 2013 - In the third episode of The School of Greatness I interview a hero for most entrepreneurs, Tim Ferriss. It was five years ago when I was introduced to...

Abstract page for arXiv paper 2601.22131: SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization

Find our Machine Learning Software Engineering Manager job description for Meta located in Seattle, WA, as well as other career opportunities that the company...

We show the conditions in which one can guide meta-reinforment learning agents to produce human-like behavior using natural language descriptions of hidden...

02/26/19 - The field of few-shot learning has been laboriously explored in the supervised setting, where per-class labels are available. On t...

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This paper propose a gradient-based framework to generate contextual symbolic policy for Meta-Reinforcement Learning to improve the generalization ability,...

Previous research has shown that federated learning (FL) systems are exposed to an array of security risks. Despite the proposal of several defensive...