Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Neural Topic Modeling with Cycle-Consistent Adversarial Training
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-011-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-011-alpha.b-cdn.net
      • sl-yoda-v3-stream-011-beta.b-cdn.net
      • 1150868944.rsc.cdn77.org
      • 1511650057.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
            Neural Topic Modeling with Cycle-Consistent Adversarial Training
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Neural Topic Modeling with Cycle-Consistent Adversarial Training

            Nov 16, 2020

            Speakers

            XH

            Xuemeng Hu

            Speaker · 0 followers

            RW

            Rui Wang

            Speaker · 0 followers

            DZ

            Deyu Zhou

            Speaker · 0 followers

            Organizer

            E2
            E2

            EMNLP 2020

            Account · 1.2k followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            About EMNLP 2020

            The 2020 Conference on Empirical Methods in Natural Language Processing

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

            Professional recording and live streaming, delivered globally.

            Interested in talks like this? Follow EMNLP 2020