Uncategorized

Semi-supervised sequence learning

~ Adrian Colyer ~ 1 Comment
Semi-supervised sequence learning - Dai & Le, NIPS 2015. The sequence to sequence learning approach we looked at yesterday has been used for machine translation, text parsing, image captioning, video analysis, and conversational modeling. In Semi-supervised sequence learning, Dai & Le use a clever twist on the sequence-to-sequence approach to enable it to be used ... Continue Reading

SocialHash: An assignment framework for optimizing distributed systems operations on social networks

~ Adrian Colyer ~ 1 Comment
SocialHash: An assignment framework for optimizing distributed systems operations on social networks - Shalita et al., NSDI '16 Large scale systems frequently need to partition resources or load across multiple nodes. How you do that can make a big difference. A common approach is to use a random distribution (e.g. via consistent hashing), which usually ... Continue Reading

StreamScope: Continuous reliable distributed processing of big data streams

~ Adrian Colyer ~ Leave a comment
StreamScope: Continuous Reliable Distributed Processing of Big Data Streams - Lin et al. NSDI '16 An emerging trend in big data processing is to extract timely insights from continuous big data streams with distributed computation running on a large cluster of machines. Examples of such data streams include those from sensors, mobile devices, and on-line ... Continue Reading