Next
Recent Trends in Personalization: A Netflix Perspective
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Multi-Task Learning in the Wilderness
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-006-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-006-alpha.b-cdn.net
      • sl-yoda-v2-stream-006-beta.b-cdn.net
      • 1549480416.rsc.cdn77.org
      • 1102696603.rsc.cdn77.org
      • Subtitles
      • Off
      • English (auto-generated)
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Multi-Task Learning in the Wilderness
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Multi-Task Learning in the Wilderness

            Jun 15, 2019

            Sprecher:innen

            AK

            Andrej Karpathy

            Sprecher:in · 89 Follower:innen

            Über

            Driven by progress in deep learning, the machine learning community is now able to tackle increasingly more complex problems—ranging from multi-modal reasoning to dexterous robotic manipulation—all of which typically involve solving nontrivial combinations of tasks. Thus, designing adaptive models and algorithms that can efficiently learn, master, and combine multiple tasks is the next frontier. AMTL workshop aims to bring together machine learning researchers from areas ranging from theory to a…

            Organisator

            I2
            I2

            ICML 2019

            Konto · 3,2k Follower:innen

            Kategorien

            KI und Datenwissenschaft

            Kategorie · 10,8k Präsentationen

            Über ICML 2019

            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

            Active Learning
            1:03:51

            Active Learning

            Akshay Krishnamurthy, …

            I2
            I2
            ICML 2019 6 years ago

            Ewigspeicher-Fortschrittswert: 1 = 0.1%

            Media Forensics: Challenges beyond the current state of the art
            21:46

            Media Forensics: Challenges beyond the current state of the art

            Matt Turek

            I2
            I2
            ICML 2019 6 years ago

            Ewigspeicher-Fortschrittswert: 1 = 0.1%

            Spotlights
            19:44

            Spotlights

            Alexander Lerchner, …

            I2
            I2
            ICML 2019 6 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Adaptive Tolling for Multiagent Traffic Optimization
            20:36

            Adaptive Tolling for Multiagent Traffic Optimization

            Peter Stone

            I2
            I2
            ICML 2019 6 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Poster spotlights #2
            13:28

            Poster spotlights #2

            Federico Baldassarre, …

            I2
            I2
            ICML 2019 6 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            A CycleGAN for style transfer between drum & bass subgenres
            16:09

            A CycleGAN for style transfer between drum & bass subgenres

            Len Vande Veire

            I2
            I2
            ICML 2019 6 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interessiert an Vorträgen wie diesem? ICML 2019 folgen