Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Relation-Dependent Sampling for Multi-Relational Link Prediction
      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
      • en
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Relation-Dependent Sampling for Multi-Relational Link Prediction
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Relation-Dependent Sampling for Multi-Relational Link Prediction

            Jul 12, 2020

            Speakers

            AF

            Arthur Feeney

            Speaker · 0 followers

            RG

            Rishabh Gupta

            Speaker · 0 followers

            VT

            Veronika Thost

            Speaker · 0 followers

            Organizer

            I2
            I2

            ICML 2020

            Account · 2.5k followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            About 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.

            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

            Auto-GAN-Distiller: Searching to Compress Generative Adversarial Networks
            12:17

            Auto-GAN-Distiller: Searching to Compress Generative Adversarial Networks

            Yonggan Fu, …

            I2
            I2
            ICML 2020 5 years ago

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

            Model-Agnostic Characterization of Fairness Trade-offs
            15:07

            Model-Agnostic Characterization of Fairness Trade-offs

            Jiahao Chen, …

            I2
            I2
            ICML 2020 5 years ago

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

            Robust One-Bit Recovery via ReLU Generative Networks
            15:05

            Robust One-Bit Recovery via ReLU Generative Networks

            Shuang Qiu, …

            I2
            I2
            ICML 2020 5 years ago

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

            Generalisation error in learning with random features and the hidden manifold model
            14:37

            Generalisation error in learning with random features and the hidden manifold model

            Bruno Loureiro, …

            I2
            I2
            ICML 2020 5 years ago

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

            CURL: Contrastive Unsupervised Representations for Reinforcement Learning
            13:14

            CURL: Contrastive Unsupervised Representations for Reinforcement Learning

            Michael Laskin, …

            I2
            I2
            ICML 2020 5 years ago

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

            ControlVAE: Controllable Variational Autoencoder
            14:21

            ControlVAE: Controllable Variational Autoencoder

            Huajie Shao, …

            I2
            I2
            ICML 2020 5 years ago

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

            Interested in talks like this? Follow ICML 2020