Research Area
Year Published

626 Results

April 24, 2017

CommAI: Evaluating the First Steps Towards a Useful General AI

ICLR 2017 Workshop

We propose a set of concrete desiderata for general AI, together with a platform to test machines on how well they satisfy such desiderata, while keeping all further complexities to a minimum.

By: Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov
April 24, 2017

Automatic Rule Extraction from Long Short Term Memory Networks

International Conference on Learning Representations (ICLR) 2017

In this paper we consider Long Short Term Memory networks (LSTMs) and demonstrate a new approach for tracking the importance of a given input to the LSTM for a given output.

By: W. James Murdoch, Arthur Szlam
April 24, 2017

Learning End-to-End Goal-Oriented Dialog

International Conference on Learning Representations (ICLR)

This paper proposes a testbed to break down the strengths and shortcomings of end-to-end dialog systems in goal-oriented applications.

By: Antoine Bordes, Y-Lan Boureau, Jason Weston
April 24, 2017

Variable Computation in Recurrent Neural Networks

International Conference on Learning Representations (ICLR) 2017

In this paper, we explore a modification to existing recurrent units which allows them to learn to vary the amount of computation they perform at each step, without prior knowledge of the sequence’s time structure.

By: Yacine Jernite, Edouard Grave, Armand Joulin, Tomas Mikolov
April 19, 2017

Joint User-Entity Representation Learning for Event Recommendation in Social Network

2017 IEEE 33rd International Conference on Data Engineering (ICDE)

In this work, we consider the heavy sparseness in both user and event feedback history caused by short lifespans (transiency) of events and user participation patterns in a production event system. We propose to solve the resulting cold-start problems by introducing a joint representation model to project users and events into the same latent space.

By: Lijun Tang, Eric Yi Liu
April 3, 2017

Bag of Tricks for Efficient Text Classification

European Chapter of the Association for Computational Linguistics (EACL)

This paper explores a simple and efficient baseline for text classification.

By: Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov
April 3, 2017

Detecting Large Reshare Cascades in Social Networks

International Conference on World Wide Web

In this paper, we propose SansNet, a network agnostic approach towards detecting large reshare cascades in online social networks.

By: Karthik Subbian, B. Aditya Prakash, Lada Adamic
April 3, 2017

Understanding Short-term Changes in Online Activity Sessions

World Wide Web (WWW)

Using data from the online social networking site Facebook, we uncover temporal patterns at a much smaller time scale: within individual sessions.

By: Farshad Kooti, Karthik Subbian, Winter Mason, Lada Adamic, Kristina Lerman
April 1, 2017

Spinner: Scalable Graph Partitioning in the Cloud

IEEE International Conference on Data Engineering (ICDE)

In this paper, we present a graph partitioning algorithm to partition graphs with trillions of edges.

By: Claudio Martella, Dionysios Logothetis, Andreas Loukas, Georgos Siganos
March 27, 2017

Flexplane: An Experimentation Platform for Resource Management in Datacenters

USENIX Symposium on Networked Systems Design and Implementation (NSDI)

Flexplane enables users to program data plane algorithms and conduct experiments that run real application traffic over them at hardware line rates. Flexplane explores an intermediate point in the design space between past work on software routers and emerging work on programmable hardware chipsets. Like software routers, Flexplane enables users to express resource management schemes in a high-level language (C++), but unlike software routers, Flexplane runs at close to hardware line rates.

By: Amy Ousterhout, Jonathan Perry, Hari Balakrishnan, Petr Lapukhov