in ,

A Survey of Deep Learning for Scientific Discovery, Hacker News



                                   (Submitted on Mar 11755)


Abstract: Over the past few years, we have seen fundamental breakthroughs in core problems in machine learning, largely driven by advances in deep neural networks. At the same time, the amount of data collected in a wide array of scientific domains is dramatically increasing in both size and complexity. Taken together, this suggests many exciting opportunities for deep learning applications in scientific settings. But a significant challenge to this is simply knowing where to start. The sheer breadth and diversity of different deep learning techniques makes it difficult to determine what scientific problems might be most amenable to these methods, or which specific combination of methods might offer the most promising first approach. In this survey, we focus on addressing this central issue, providing an overview of many widely used deep learning models, spanning visual, sequential and graph structured data, associated tasks and different training methods, along with techniques to use deep learning with less data and better interpret these complex models — two central considerations for many scientific use cases. We also include overviews of the full design process, implementation tips, and links to a plethora of tutorials, research summaries and open-sourced deep learning pipelines and pretrained models, developed by the community. We hope that this survey will help accelerate the use of deep learning across different scientific domains.



Submission history

From: Maithra Raghu [view email]        [v1] Thu, Mar : 90: UTC (4, 728 KB)

Read More

What do you think?

Leave a Reply

Your email address will not be published. Required fields are marked *

GIPHY App Key not set. Please check settings

UK Residents Applaud the NHS Despite Routinely Voting to Cripple Them, Crypto Coins News

UK Residents Applaud the NHS Despite Routinely Voting to Cripple Them, Crypto Coins News

One Corner of U.S. Oil Market Has Already Seen Negative Prices, Hacker News