Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Multi-Task Network Pruning and Embedded Optimization for Real-time Inference in Autonomous Driving
      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
            Multi-Task Network Pruning and Embedded Optimization for Real-time Inference in Autonomous Driving
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Multi-Task Network Pruning and Embedded Optimization for Real-time Inference in Autonomous Driving

            Dec 6, 2020

            Speakers

            FD

            Flora Dellinger

            Sprecher:in · 0 Follower:innen

            TB

            Thomas Boulay

            Sprecher:in · 0 Follower:innen

            DM

            Diego Mondeza

            Sprecher:in · 0 Follower:innen

            Organizer

            N2
            N2

            NeurIPS 2020

            Konto · 11,7k Follower:innen

            Categories

            KI und Datenwissenschaft

            Kategorie · 10,8k Präsentationen

            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

            Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
            09:43

            Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy

            Edward Moroshko, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
            04:18

            Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation

            Uchenna Akujuobi, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            On the (Im) Possibility of Assumption-Free Inference for Causal Effects Estimated with ML
            41:24

            On the (Im) Possibility of Assumption-Free Inference for Causal Effects Estimated with ML

            James M Robins, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Deep Direct Likelihood Knockoffs
            03:22

            Deep Direct Likelihood Knockoffs

            Mukund Sudarshan, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Debrief & Until next time!
            10:54

            Debrief & Until next time!

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Agnostic learning of a single neuron with gradient descent
            03:10

            Agnostic learning of a single neuron with gradient descent

            Spencer Frei, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interested in talks like this? Follow NeurIPS 2020