Recurrent Neural Network models

March 23, 2017November 11, 2019 ~ Adrian Colyer ~ 2 Comments

Today we're pressing on with the top 100 awesome deep learning papers list, and the section on recurrent neural networks (RNNs). This contains only four papers (joy!), and even better we've covered two of them previously (Neural Turing Machines and Memory Networks, the links below are to the write-ups). That leaves up with only two ... Continue Reading

Convolution neural networks, Part 3

March 22, 2017November 11, 2019 ~ Adrian Colyer ~ 4 Comments

Today we're looking at the final four papers from the 'convolutional neural networks' section of the 'top 100 awesome deep learning papers' list. Deep residual learning for image recognition, He et al., 2016 Identity mappings in deep residual networks, He et al., 2016 Inception-v4, inception-resnet and the impact of residual connections or learning, Szegedy et ... Continue Reading

Convolution neural nets, Part 2

March 21, 2017November 11, 2019 ~ Adrian Colyer ~ 6 Comments

Today it's the second tranche of papers from the convolutional neural nets section of the 'top 100 awesome deep learning papers' list: Return of the devil in the details: delving deep into convolutional nets, Chatfield et al., 2014 Spatial pyramid pooling in deep convolutional networks for visual recognition, He et al., 2014 Very deep convolutional ... Continue Reading

Omid reloaded: scalable and highly-available transaction processing

March 17, 2017November 11, 2019 ~ Adrian Colyer ~ Leave a comment

Omid, reloaded: scalable and highly-available transaction processing Shacham et al., FAST '17 Omid is a transaction processing service powering web-scale production systems at Yahoo that digest billions of events per day and push them into a real-time index. It's also been open-sourced and is currently incubating at Apache as the Apache Omid project. What's interesting ... Continue Reading

Application crash consistency and performance with CCFS

March 15, 2017November 11, 2019 ~ Adrian Colyer ~ 3 Comments

Application crash consistency and performance with CCFS Pillai et al., FAST 2017 I know I tend to get over-excited about some of the research I cover, but this is truly a fabulous piece of work. We looked "All file systems are not created equal" in a previous edition of The Morning Paper, which showed that ... Continue Reading

Chronix: Long term storage and retrieval technology for anomaly detection in operational data

March 10, 2017November 11, 2019 ~ Adrian Colyer ~ 3 Comments

Chronix: Long term storage and retrieval technology for anomaly detection in operational data Lautenschlager et al., FAST 2017 Chronix (http://www.chronix.io/ ) is a time-series database optimised to support anomaly detection. It supports a multi-dimensional generic time series data model and has built-in high level functions for time series operations. Chronix also a scheme called "Date-Delta-Compaction" (DDC) ... Continue Reading

MaMaDroid: Detecting Android malware by building Markov chains of behavorial models

March 9, 2017November 11, 2019 ~ Adrian Colyer ~ 1 Comment

MaMaDroid: Detecting Android malware by building Markov chains of behavioral models, Mariconti et al., NDSS 2017 Pick any security conference of your choosing, and you're sure to find plenty of papers examining the security of Android. It can paint a pretty bleak picture, but at the same time the Android ecosystem also seems to have ... Continue Reading

Redundancy does not imply fault tolerance: analysis of distributed storage reactions to single errors and corruptions

March 8, 2017November 11, 2019 ~ Adrian Colyer ~ 10 Comments

Redundancy does not imply fault tolerance: analysis of distributed storage reactions to single errors and corruptions Ganesan et al., FAST 2017 It's a tough life being the developer of a distributed datastore. Thanks to the wonderful work of Kyle Kingsbury (aka, @aphyr) and his efforts on Jepsen.io, awareness of data loss and related issues in ... Continue Reading

Thou shalt not depend on me: analysing the use of outdated JavaScript libraries on the web

March 7, 2017November 11, 2019 ~ Adrian Colyer ~ 46 Comments

Thou shalt not depend on me: analysing the use of outdated JavaScript libraries on the web Lauinger et al., NDSS 2017 Just based on the paper title alone, if you had to guess what the situation is with outdated JavaScript libraries on the web, you'd probably guess it was pretty bad. It turns out it's ... Continue Reading

HopFS: Scaling hierarchical file system metadata using NewSQL databases

March 6, 2017November 11, 2019 ~ Adrian Colyer ~ 10 Comments

HopFS: Scaling hierarchical file system metadata using NewSQL databases Niazi et al., FAST 2017 If you're working with big data and Hadoop, this one paper could repay your investment in The Morning Paper many times over (ok, The Morning Paper is free - but you do pay with your time to read it). You know ... Continue Reading

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