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20102026
most citedAutoencoding beyond pixels using a learned similarity metric

655 citations

Showing 2017Show all

6 papers · 1 filter

cs.DB2017★ 3 cited

Real Time Analytics: Algorithms and Systems

Arun Kejariwal, Sanjeev Kulkarni, Karthik Ramasamy

Velocity is one of the 4 Vs commonly used to characterize Big Data. In this regard, Forrester remarked the following in Q3 2014: "The high velocity, white-water flow of data from i…

cs.DB2017

T-Crowd: Effective Crowdsourcing for Tabular Data

Caihua Shan, Nikos Mamoulis, Guoliang Li +3

Crowdsourcing employs human workers to solve computer-hard problems, such as data cleaning, entity resolution, and sentiment analysis. When crowdsourcing tabular data, e.g., the at…

cs.SI2017★ 55 cited

Detecting Strong Ties Using Network Motifs

Rahmtin Rotabi, Krishna Kamath, Jon Kleinberg +1

Detecting strong ties among users in social and information networks is a fundamental operation that can improve performance on a multitude of personalization and ranking tasks. St…

cs.SI2017★ 12 cited

Cascades: A view from Audience

Rahmtin Rotabi, Krishna Kamath, Jon Kleinberg +1

Cascades on online networks have been a popular subject of study in the past decade, and there is a considerable literature on phenomena such as diffusion mechanisms, virality, cas…

cs.SI2017★ 6 cited

When Hashes Met Wedges: A Distributed Algorithm for Finding High Similarity Vectors

Aneesh Sharma, C. Seshadhri, Ashish Goel

Finding similar user pairs is a fundamental task in social networks, with numerous applications in ranking and personalization tasks such as link prediction and tie strength detect…

stat.ML2017★ 259 cited

Lossy Image Compression with Compressive Autoencoders

Lucas Theis, Wenzhe Shi, Andrew Cunningham +1

We propose a new approach to the problem of optimizing autoencoders for lossy image compression. New media formats, changing hardware technology, as well as diverse requirements an…