SlidesLive
Categories
EN
Log in Talk to sales
Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
       0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-001-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-001-alpha.b-cdn.net
      • sl-yoda-v2-stream-001-beta.b-cdn.net
      • 1824830694.rsc.cdn77.org
      • 1979322955.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
            Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Disentangling 3D Prototypical Networks for Few-Shot Concept Learning

            Dec 6, 2020

            Speakers

            MP

            Mihir Prabhudesai

            Speaker · 0 followers

            SL

            Shamit Lal

            Speaker · 0 followers

            DP

            Darshan Patil

            Speaker · 0 followers

            Organizer

            N2
            N2

            NeurIPS 2020

            Account · 11.6k followers

            Categories

            Web Development & UX/UI

            Category · 1.2k presentations

            Visual Arts & Graphic Design

            Category · 333 presentations

            AI & Data Science

            Category · 10.8k presentations

            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.

            Learn more

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
            03:21

            Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning

            Huan Fu, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images
            14:41

            Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images

            Isabelle Tingzon, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Bayesian Deep Ensembles via the Neural Tangent Kernel
            03:24

            Bayesian Deep Ensembles via the Neural Tangent Kernel

            Bobby He, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Evaluation Framework
            26:54

            Evaluation Framework

            Anubha Sinha

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Unsupervised Sound Separation Using Mixture-Invariant Training
            03:20

            Unsupervised Sound Separation Using Mixture-Invariant Training

            Scott Wisdom, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Unsupervised Learning of Object Landmarks via Self-Training Correspondence
            03:16

            Unsupervised Learning of Object Landmarks via Self-Training Correspondence

            Dimitrios Mallis, …

            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