Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Odd-One-Out Representation Learning
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-013-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-013-alpha.b-cdn.net
      • sl-yoda-v3-stream-013-beta.b-cdn.net
      • 1668715672.rsc.cdn77.org
      • 1420896597.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Odd-One-Out Representation Learning
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Odd-One-Out Representation Learning

            Dec 6, 2020

            Speakers

            Organizer

            N2
            N2

            NeurIPS 2020

            Account · 11.1k followers

            About NeurIPS 2020

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Transferable Graph Optimizers for ML Compilers
            12:54

            Transferable Graph Optimizers for ML Compilers

            Yanqiz Zhou, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Smoothed Analysis of Online and Differentially Private Learning
            09:41

            Smoothed Analysis of Online and Differentially Private Learning

            Nika Haghtalab, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination
            50:22

            Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination

            Peter Stone

            N2
            N2
            NeurIPS 2020 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Adversarial Weight Perturbation Helps Robust Generalization
            02:40

            Adversarial Weight Perturbation Helps Robust Generalization

            Dongxian Wu, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Challenges of Model-Based Inverse Reinforcement Learning
            28:54

            Challenges of Model-Based Inverse Reinforcement Learning

            Franziska Meier

            N2
            N2
            NeurIPS 2020 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            FrugalML: Using MLaaS APIs Accurately and Economically
            03:17

            FrugalML: Using MLaaS APIs Accurately and Economically

            Lingjiao Chen, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow NeurIPS 2020