Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-008-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-008-alpha.b-cdn.net
      • sl-yoda-v2-stream-008-beta.b-cdn.net
      • 1159783934.rsc.cdn77.org
      • 1511376917.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
            Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory

            Mai 3, 2021

            Sprecher:innen

            JR

            Jason Ramapuram

            Sprecher:in · 0 Follower:innen

            YW

            Yan Wu

            Sprecher:in · 0 Follower:innen

            AK

            Alexandros Kalousis

            Sprecher:in · 0 Follower:innen

            Über

            Episodic and semantic memory are critical components of the human memory model. The theory of complementary learning system (McClelland et al., 1995) suggests that the compressed representation produced by a serial event (episodic memory) is later restructured to build a more generalized form of reusable knowledge (semantic memory). In this work, we develop a new principled Bayesian memory allocation scheme that bridges the gap between episodic and semantic memory via a hierarchical latent varia…

            Organisator

            I2
            I2

            ICLR 2021

            Konto · 897 Follower:innen

            Über ICLR 2021

            The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning. ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

            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

            Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
            11:15

            Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach

            Malik Tiomoko, …

            I2
            I2
            ICLR 2021 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters
            03:15

            Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters

            Javier Carnerero-Cano, …

            I2
            I2
            ICLR 2021 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Learning structure vs how to use it: Meta-learning inference strategies
            22:45

            Learning structure vs how to use it: Meta-learning inference strategies

            Ishita Dasgupta

            I2
            I2
            ICLR 2021 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            AI-Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
            1:00:58

            AI-Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19

            Aisha Walcott-Bryant

            I2
            I2
            ICLR 2021 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Tent: Fully Test-Time Adaptation by Entropy Minimization
            10:45

            Tent: Fully Test-Time Adaptation by Entropy Minimization

            Dequan Wang, …

            I2
            I2
            ICLR 2021 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Graph Edit Networks
            04:09

            Graph Edit Networks

            Benjamin Paassen, …

            I2
            I2
            ICLR 2021 4 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interessiert an Vorträgen wie diesem? ICLR 2021 folgen