Fast abstract

Results: 388



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11

Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol, Vicki Pfau, Christopher Hesse, Oleg Klimov, John Schulman OpenAI {alex, vickipfau, csh, oleg, joschu}@openai.com Abstract

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Source URL: s3-us-west-2.amazonaws.com

Language: English - Date: 2018-03-28 16:39:11
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    Prioritizing Attention in Fast Data: Principles and Promise Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri Stanford InfoLab ABSTRACT While data volumes continue to rise, the capacity of human attention

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    Source URL: www.bailis.org

    Language: English - Date: 2016-12-13 22:48:11
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      Building Secure High-Performance Web Services with OKWS Maxwell Krohn, MIT Computer Science and AI Laboratory Abstract OKWS is a toolkit for building fast and secure Web services. It provides Web deve

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      Source URL: css.csail.mit.edu

      Language: English - Date: 2016-01-29 11:49:16
        14

        Redis+R = Multi-user happiness Abstract • There are many options for data persistence from R; from SQL server to Mongo but one option that is fast, powerful, rich and very well

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        Source URL: capetown2017.satrdays.org

        Language: English
          15

          Global Exponential Stability of FAST TCP Joon-Young Choi, Kyungmo Koo, David X. Wei, Jin S. Lee, and Steven H. Low Abstract— We consider a single-link multi-source network with the FAST TCP sources. We propose a contin

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          Source URL: netlab.caltech.edu

          Language: English - Date: 2007-09-07 16:57:21
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            Low-Overhead Bug Fingerprinting for Fast Debugging Cristian Zamfir and George Candea School of Computer and Communication Sciences École Polytechnique Fédérale de Lausanne (EPFL), Switzerland Abstract. There is a gap

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            Source URL: dslab.epfl.ch

            Language: English - Date: 2018-08-14 09:29:24
              17

              MODELLING AND STABILITY OF FAST TCP∗ JIANTAO WANG† , DAVID X. WEI† , JOON-YOUNG CHOI‡ , AND STEVEN H. LOW† Abstract. We discuss the modelling of FAST TCP and prove four stability results. Using the traditional

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              Source URL: netlab.caltech.edu

              Language: English - Date: 2006-07-15 20:10:50
                18

                Dispatching to Incentivize Fast Service in Multi-Server Queues [Extended Abstract] Sherwin Doroudi Carnegie Mellon University

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                Source URL: ecee.colorado.edu

                Language: English - Date: 2011-05-19 21:15:07
                  19

                  Using Fast Weights to Deblur Old Memories Geoffrey E. Hinton and David C. Plaut Computer Science Department Carnegie-Mellon University Abstract

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                  Source URL: pdfs.semanticscholar.org

                  - Date: 2015-07-28 19:21:24
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