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 · 11.7k 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.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            On the low-density latent regions of VAE-based language models
            04:24

            On the low-density latent regions of VAE-based language models

            Ruizhe Li, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Rethinking pooling in graph neural networks
            03:14

            Rethinking pooling in graph neural networks

            Diego Mesquita, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            COG: Connecting New Skills to Past Experiences with Offline Reinforcement Learning
            18:37

            COG: Connecting New Skills to Past Experiences with Offline Reinforcement Learning

            Avi Singh, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Goal Conditioned Reinforcement Learning in the Presence of an Adversary
            03:23

            Goal Conditioned Reinforcement Learning in the Presence of an Adversary

            Carlos Purves, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
            03:30

            Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints

            Marc Finzi, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Active Structure Learning of Causal DAGs via Directed Clique Trees
            03:23

            Active Structure Learning of Causal DAGs via Directed Clique Trees

            Chandler Squires, …

            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