This report documents ideas for improving the field of machine learning, which arose from discussions at the ML Retrospectives workshop at NeurIPS 2019. The goal of the report is to disseminate these ideas more broadly, and in turn encourage continuing discussion about how the field could improve along these axes. We focus on topics that were most discussed at the workshop: incentives for encouraging alternate forms of scholarship, re-structuring the review process, participation from academia and industry, and how we might better train computer scientists as scientists. Videos from the workshop can be accessed at https://slideslive.com/neurips/west-114-115-retrospectives-a-venue-for-selfreflection-in-ml-researc
One of the challenges in machine learning research is to ensure that presented and published result...
The second Machine Learning for Health (ML4H) symposium was held both virtually and in-person on Nov...
Machine Learning has become a key enabling technology for many engineering applications, investigati...
Machine learning (ML) techniques are increasingly prevalent in education, from their use in predicti...
This paper provides an overview of machine learning (ML), its current state of development, and the ...
We have never been surrounded by so many digital devices that produce a vast and continuous stream o...
Introduction Machine learning (ML) is devoted to the study and computer modelling of learning proce...
AbstractThis paper reviews a number of recent books related to current developments in machine learn...
Learning is constructing or modifying representations of what is being experi-enced. and then using ...
One of the widely used research area in todays world is artificial intelligence and one of the scope...
Machine learning is a subject that reviews how to utilize PCs to reenact human learning exercises, a...
one type of learning. In addition, papers covered machine discovery, formal models of concept learni...
Machine learning is increasingly becoming a ubiquitous discipline, because there are a lot of applic...
Machine learning is the fastest growing areas of computer science. It has the ability to lets the co...
The purpose of this book is to provide an up-to-date and systematical introduction to the principles...
One of the challenges in machine learning research is to ensure that presented and published result...
The second Machine Learning for Health (ML4H) symposium was held both virtually and in-person on Nov...
Machine Learning has become a key enabling technology for many engineering applications, investigati...
Machine learning (ML) techniques are increasingly prevalent in education, from their use in predicti...
This paper provides an overview of machine learning (ML), its current state of development, and the ...
We have never been surrounded by so many digital devices that produce a vast and continuous stream o...
Introduction Machine learning (ML) is devoted to the study and computer modelling of learning proce...
AbstractThis paper reviews a number of recent books related to current developments in machine learn...
Learning is constructing or modifying representations of what is being experi-enced. and then using ...
One of the widely used research area in todays world is artificial intelligence and one of the scope...
Machine learning is a subject that reviews how to utilize PCs to reenact human learning exercises, a...
one type of learning. In addition, papers covered machine discovery, formal models of concept learni...
Machine learning is increasingly becoming a ubiquitous discipline, because there are a lot of applic...
Machine learning is the fastest growing areas of computer science. It has the ability to lets the co...
The purpose of this book is to provide an up-to-date and systematical introduction to the principles...
One of the challenges in machine learning research is to ensure that presented and published result...
The second Machine Learning for Health (ML4H) symposium was held both virtually and in-person on Nov...
Machine Learning has become a key enabling technology for many engineering applications, investigati...