Clark University

Results: 1731



#Item
21

Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More Douwe Kiela*, Felix Hill*, Anna Korhonen and Stephen Clark University of Cambridge Computer Laboratory {douwe.kiela|felix.hill|anna

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Source URL: acl2014.org

Language: English - Date: 2014-06-11 13:08:56
    22

    Jeremy
Clark,
Urs
Hengartner,
&
Kate
Larson
 University
of
Waterloo

 Not
So
Hidden
Informa0on:
 Op0mal
contracts
for
undue
influence
in
E2E
vo0ng
systems



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    Source URL: users.encs.concordia.ca

    Language: English - Date: 2013-08-05 10:55:13
      23

      Clark Smith POSTMODERN WINEMAKING: RE-THINKING THE MODERN SCIENCE OF AN ANCIENT CRAFT University of California Press 368pp. £24

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      Source URL: www.timcrane.com

      Language: English - Date: 2016-11-06 16:12:28
        24

        Sequential Pose Estimation Using Linearized Rotation Matrices Timothy Michael Drews∗ , Paul G. Kry† , James Richard Forbes‡ , and Clark Verbrugge§ McGill University Montr´eal, Qu´ebec, Canada ∗ Email: timothy.

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        Source URL: www.cs.mcgill.ca

        - Date: 2013-06-03 11:02:48
          25

          Collaborative Red Teaming for Anonymity System Evaluation Sandy Clark◦ Chris Wacek• Matt Blaze◦ Boon Thau Loo◦ Micah Sherr• Clay Shields• Jonathan Smith◦ ◦ University of Pennsylvania

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          Source URL: www.usenix.org

            26

            Named Entity Recognition in Tweets: An Experimental Study Alan Ritter, Sam Clark, Mausam and Oren Etzioni Computer Science and Engineering University of Washington Seattle, WA 98125, USA

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            Source URL: pdfs.semanticscholar.org

            - Date: 2015-07-28 21:28:38
              27

              CascadeCompetition Contribution) Wei Wang and Clark Barrett New York University Abstract. Cascade is a static program analysis tool developed at NYU.

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              Source URL: www.cs.nyu.edu

              - Date: 2016-01-23 11:34:02
                28

                Cascade (Competition Contribution) Wei Wang and Clark Barrett New York University Abstract. Cascade is a static program analysis tool developed at New York University. It uses bounded model checking to generate verificat

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                Source URL: www.cs.nyu.edu

                - Date: 2015-01-29 13:02:34
                  29

                  Improving Coreference Resolution by Learning Entity-Level Distributed Representations Kevin Clark Computer Science Department Stanford University

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                  Source URL: nlp.stanford.edu

                  - Date: 2016-11-15 14:28:52
                    30

                    Deep Reinforcement Learning for Mention-Ranking Coreference Models Kevin Clark Computer Science Department Stanford University

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                    Source URL: nlp.stanford.edu

                    - Date: 2016-11-15 14:17:58
                      UPDATE