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550 Results

May 2, 2016

Predicting Distributions with Linearizing Belief Networks

ICLR 2016: International Conference on Learning Representation

This work introduces a new family of networks called linearizing belief nets or LBNs.

By: Yann Dauphin, David Grangier
May 2, 2016

Metric Learning with Adaptive Density Discrimination

ICLR

Distance metric learning approaches learn a transformation to a representation space in which distance is in correspondence with a predefined notion of similarity.

By: Oren Rippel, Manohar Paluri, Piotr Dollar, Lubomir Bourdev
April 19, 2016

Evaluating Prerequisite Qualities for Learning End-to-end Dialog Systems

ICLR 2016

An approach for testing the abilities of conversational agents using question-answering over a knowledge base, personalized recommendations, and natural conversation.

By: Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander Miller, Arthur Szlam, Jason Weston
April 13, 2016

Abstractive Summarization with Attentive RNN

NAACL 2016

Abstractive sentence summarization generates a shorter version of a given sentence while attempting to preserve its meaning. We introduce a conditional recurrent neural network (RNN) which generates a summary of an input sentence.

By: Sumit Chopra, Michael Auli, Alexander M. Rush
April 12, 2016

Performance of Regression-Based Precoding for Multi-User Massive MIMO-OFDM Systems.

EURASIP Journal on Advances in Signal Processing

We study the performance of a single-cell massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system.

By: Ali Yazdan Panah, Karthik Yogeeswaran, Yael Maguire
April 11, 2016

Do Cascades Recur?

WWW 2016

Beyond a certain popularity of content, the rate of recurrence drops as cascades start exhausting the population of interested individuals. We reproduce these observed patterns in a simple model of content recurrence simulated on a real social network.

By: Justin Cheng, Lada Adamic, Jon Kleinberg, Jure Leskovec
April 11, 2016

People and Cookies: Imperfect Treatment Assignment in Online Experiments

WWW 2016

Identifying the same internet user across devices or over time is often infeasible. This presents a problem for online experiments, as it precludes person-level randomization. Randomization must instead be done using imperfect proxies for people, like cookies, email addresses or device identifiers.

By: Dominic Coey, Michael Bailey
April 11, 2016

Discovery of Topical Authorities in Instagram

WWW 2016

In this paper, we present a novel approach that we call the Authority Learning Framework (ALF) to find topical authorities in Instagram.

By: Aditya Pal, Amaç Herdağdelen, Sourav Chatterji, Sumit Taank, Deepayan Chakrabarti
April 1, 2016

The Goldilocks Principle: Reading Children’s Books with Explicit Memory Representations

ICLR 2016

We introduce a new test of how well language models capture meaning in children’s books.

By: Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston
March 23, 2016

Social Networks and Housing Markets

SSRN

We document that the recent house price experiences within an individual’s social network affect her perceptions of the attractiveness of property investments, and through this channel have large effects on her housing market activity.

By: Michael Bailey, Ruiqing Cao, Theresa Kuchler, Johannes Stroebel