Like any discipline, machine learning has a lot of “folk wisdom” that can be difficult to come by, but is crucial for success. This article summarized some of the most salient items. Of course, it is only a complement to the more conventional study of machine learning. Check out http:...
Awesome Federated Machine Learning Federated Learning (FL) is a new machine learning framework, which enables multiple devices collaboratively to train a shared model without compromising data privacy and security. This repository aims to keep tracking the latest research advancements of federated learning...
Domain Extrapolation via Regret Minimization. Wengong Jin, Regina Barzilay, Tommi Jaakkola. Preprint, June 2020. [arxiv] Fast differentiable DNA and protein sequence optimization for molecular design. Johannes Linder, Georg Seelig. Preprint, May 2020. [arxiv] A Deep Dive into Machine Learning Models...
Machine Learning can be used in almost all sectors of human life to make our workefficient,robust,andUncomplicated. As we know everything comes with its own pros and cons, machine learning has also its disadvantages such as with the increase in machine learning many people may lose their curre...
In this approach, learning algorithms are used to generate new insights which can be added to domain knowledge bases supporting again symbolic regression. This is used for the generalization of the well-known regression analysis to fulfill supervised classification. The approach aims to produce a ...
(FSL) is a Machine Learning framework that enables a pre-trained model to generalize over new categories of data (that the pre-trained model has not seen during training) using only a few labeled samples per class. It falls under the paradigm of meta-learning (meta-learning means learning ...
You may have used the ***.devsapp.net domain name. This domain name is provided by the Serverless Devs community for learning and testing. Serverless Devs is the official sandbox project of the Cloud Native Computing Foundation (CNCF). The Serverless Devs community dial tests the domain name...
First, AI ain't AI, it's just machine learning. Second, the fact it speaks like a human doesn't make it even remotely human. Alas, the distinction is lost on the masses. Indeed, if you think about it, the great danger in this AI hype is that its only viable purpose is to make...
Transfer Learning / Domain Adaption on Graph Paper list about transfer learning (mainly domain adaption) on graphs. Note:This repo records papers for personal needs. If you find I missed some important and exciting work, it is welcome to let me know through issues!
迁移学习领域最具代表性的综述是A survey on transfer learning,发表于2010年,对迁移学习进行了比较权威的定义。 迁移学习的理论分析: 迁移学习方面一直以来都比较缺乏理论分析与证明的文章,以下三篇连贯式的理论文章成为了经典: NIPS-06 Analysis of Representations for Domain Adaptation ML-10 A Theory of Learning...