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550 Results

September 1, 2016

Desugaring Haskell’s Do-Notation into Applicative Operations

ACM SIGPLAN Haskell Sympoisum

In this paper we show how to re-use the very same do-notation to work for Applicatives as well, providing efficiency benefits for some types that are both Monad and Applicative, and syntactic convenience for those that are merely Applicative.

By: Simon Marlow, Simon Peyton Jones, Edward Kmett, Andrey Mokhov
August 23, 2016

Robotron: Top-down Network Management at Facebook Scale

SIGCOMM

In this paper, we present Robotron, a system for managing a massive production network in a top-down fashion.

By: Yu-Wei Eric Sung, Xiaozheng Tie, Starsky H.Y. Wong, James Hongyi Zeng
August 16, 2016

Synergy of Monotonic Rules

JMLR

This article describes a method for constructing a special rule (we call it synergy rule) that uses as its input information the outputs (scores) of several monotonic rules which solve the same pattern recognition problem.

By: Vladimir Vapnik, Rauf Izmailov
August 13, 2016

Compressing Graphs and Indexes with Recursive Graph Bisection

KDD

Graph reordering is a powerful technique to increase the locality of the representations of graphs, which can be helpful in several applications. We study how the technique can be used to improve compression of graphs and inverted indexes.

By: Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita
August 12, 2016

Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches

ACM Conference on Knowledge Discovery and Data Mining

This paper presents and analyzes two new classes of methods for estimating cardinalities of intersections and unions from sketches.

By: Daniel Ting
August 11, 2016

Semi-Supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data

Conference on Natural Language Learning

We propose a method which uses semi-supervised convolutional neural networks (CNNs) to select in-domain training data for statistical machine translation.

By: Boxing Chen, Fei Huang
August 10, 2016

Neural Network-Based Word Alignment through Score Aggregation

Association for Computational Linguistics Conference on Machine Translation

We present a simple neural network for word alignment that builds source and target word window representations to compute alignment scores for sentence pairs.

By: Joel Legrand, Michael Auli, Ronan Collobert
August 7, 2016

Strategies for Training Large Vocabulary Neural Language Models

Association for Computational Linguistics (ACL 2016)

We present a systematic comparison of neural strategies to represent and train large vocabularies, including softmax, hierarchical softmax, target sampling, noise contrastive estimation and self normalization.

By: Wenlin Chen, David Grangier, Michael Auli
August 1, 2016

Promoting Connection: Designing Social Media Experiences to Support People with Eating Disorders

International Conference on Design & Emotion 2016

This paper explores ways to address the emotional needs of social media users through designing experiences that (a) make people feel seen and heard by focusing on their suffering and emotions rather than their eating behaviors; (b) help people feel they belong by focusing on activities and opportunities that enable connection with themselves and things they value; and (c) help people feel in control by focusing on resources and information to receive support or take steps toward recovery.

By: Jennifer Guadagno, Valerie Chao, Vanessa Callison-Burch
July 27, 2016

The Relationship Between Facebook Use and Well-Being Depends on Communication Type and Tie Strength

Journal of Computer-Mediated Communication

An extensive literature shows that social relationships influence psychological well-being, but the underlying mechanisms remain unclear. We test predictions about online interactions and well-being made by theories of belongingness, relationship maintenance, relational investment, social support, and social comparison.

By: Moira Burke, Robert Kraut