Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Human in the Loop Learning Using Personalized Cognitive Models
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-016-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-016-alpha.b-cdn.net
      • sl-yoda-v3-stream-016-beta.b-cdn.net
      • 1504562137.rsc.cdn77.org
      • 1896834465.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
            Human in the Loop Learning Using Personalized Cognitive Models
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Human in the Loop Learning Using Personalized Cognitive Models

            Jul 18, 2020

            Sprecher:innen

            CL

            Christian Lebiere

            Sprecher:in · 0 Follower:innen

            EC

            Edward Cranford

            Sprecher:in · 0 Follower:innen

            CG

            Cleotilde Gonzalez

            Sprecher:in · 0 Follower:innen

            Organisator

            I2
            I2

            ICML 2020

            Konto · 2,7k Follower:innen

            Kategorien

            KI und Datenwissenschaft

            Kategorie · 10,8k Präsentationen

            Über ICML 2020

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

            Gefällt euch das Format? Vertraut auf SlidesLive, um euer nächstes Event festzuhalten!

            Professionelle Aufzeichnung und Livestreaming – weltweit.

            Freigeben

            Empfohlene Videos

            Präsentationen, deren Thema, Kategorie oder Sprecher:in ähnlich sind

            Frequent Subgraph Mining by Walking in Order Embedding Space
            17:16

            Frequent Subgraph Mining by Walking in Order Embedding Space

            Rex Ying, …

            I2
            I2
            ICML 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
            14:55

            Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?

            Kei Ota, …

            I2
            I2
            ICML 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Adaptive Adversarial Multi-task Representation Learning
            13:23

            Adaptive Adversarial Multi-task Representation Learning

            Yuren Mao, …

            I2
            I2
            ICML 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Decoupled Greedy Learning of CNNs
            16:03

            Decoupled Greedy Learning of CNNs

            Eugene Belilovsky, …

            I2
            I2
            ICML 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Model-Based Methods in Reinforcement Learning - Part 3: Model-based Control in the Loop
            1:01:01

            Model-Based Methods in Reinforcement Learning - Part 3: Model-based Control in the Loop

            Igor Mordatch, …

            I2
            I2
            ICML 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 4 = 0.4%

            Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
            15:30

            Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning

            Silviu Pitis, …

            I2
            I2
            ICML 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interessiert an Vorträgen wie diesem? ICML 2020 folgen