Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: HEATING UP DECISION BOUNDARIES: ISOCAPACITORY SATURATION, ADVERSARIAL SCENARIOS AND GENERALIZATION BOUNDS
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-009-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-009-alpha.b-cdn.net
      • sl-yoda-v2-stream-009-beta.b-cdn.net
      • 1766500541.rsc.cdn77.org
      • 1441886916.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
            HEATING UP DECISION BOUNDARIES: ISOCAPACITORY SATURATION, ADVERSARIAL SCENARIOS AND GENERALIZATION BOUNDS
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            HEATING UP DECISION BOUNDARIES: ISOCAPACITORY SATURATION, ADVERSARIAL SCENARIOS AND GENERALIZATION BOUNDS

            May 3, 2021

            Speakers

            BG

            Bogdan Georgiev

            Speaker · 0 followers

            LF

            Lukas Franken

            Speaker · 0 followers

            MM

            Mayukh Mukherjee

            Speaker · 0 followers

            About

            In the present work we study classifiers' decision boundaries via Brownian motion processes in ambient data space and associated probabilistic techniques. Intuitively, our ideas correspond to placing a heat source at the decision boundary and observing how effectively the sample points warm up. We are largely motivated by the search for a soft measure that sheds further light on the decision boundary's geometry. En route, we bridge aspects of potential theory and geometric analysis (Maz'ya 2011,…

            Organizer

            I2
            I2

            ICLR 2021

            Account · 901 followers

            About 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.

            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

            CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
            05:31

            CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

            Shiyang Li, …

            I2
            I2
            ICLR 2021 4 years ago

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

            WrapNet:  Neural Net Inference with Ultra-Low-Precision Arithmetic
            05:11

            WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic

            Renkun Ni, …

            I2
            I2
            ICLR 2021 4 years ago

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

            Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
            04:55

            Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples

            Ziang Yan, …

            I2
            I2
            ICLR 2021 4 years ago

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

            Deep Bootstrap Framework: Rethinking Generalization to Understand Deep Learning
            05:36

            Deep Bootstrap Framework: Rethinking Generalization to Understand Deep Learning

            Preetum Nakkiran, …

            I2
            I2
            ICLR 2021 4 years ago

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

            Q&A / Discussions 2
            11:59

            Q&A / Discussions 2

            David Duvenaud, …

            I2
            I2
            ICLR 2021 4 years ago

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

            Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
            05:12

            Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

            Tsung-Wei Ke, …

            I2
            I2
            ICLR 2021 4 years ago

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

            Interested in talks like this? Follow ICLR 2021