• 09:00

    WELCOME & OPENING REMARKS

  • DEEP LEARNING LANDSCAPE

  • 09:15

    From Open-Endedness to AI

  • 09:35

    Continual Lifelong Learning & Experimentation

  • 09:55

    Revisiting Small Batch Training for Deep Neural Networks

  • 10:15

    COFFEE & NETWORKING BREAK

  • 10:50

    Developing Novel Architectures for Deep Learning

  • 11:10

    Scaling Up Pytorch with GPU Cluster Computing

  • 11:30

    A General Framework for Domain Adversarial Learning

  • 11:50

    FIRESIDE CHAT - Making ML Work in the Real World

  • 12:30

    LUNCH

  • COMPUTER VISION

  • 13:30

    Visual Recognition beyond 2D

  • 13:50

    Multi-modal Video Content Analysis

  • 14:10

    Progress on Joint Vision and Language Understanding

  • 14:30

    Drive, Learn, Improve: Exploiting the System to Guide Learning in Autonomous Driving

  • 14:50

    COFFEE & NETWORKING BREAK

  • NATURAL LANGUAGE UNDERSTANDING

  • 15:15

    A System for Conversational Faceted Search

  • 15:35

    Cross-Lingual Transfer Learning

  • 15:55

    Speech Enabled NLP for Event Extraction

  • 16:15

    PANEL: Explainable AI - Opening Up The Black Box

  • 17:00

    NETWORKING DRINKS RECEPTION

  • 18:00

    END OF DAY ONE

  • TOOLS FOR DEEP LEARNING

  • 09:00

    WELCOME NOTE

  • GENERATIVE MODELS

  • 09:10

    Enabling World Models via Unsupervised Representation Learning

  • 09:30

    Do Deep Generative Models Know What They Don't Know

  • 09:50

    New Optimization Perspectives on Generative Adversarial Networks

  • NEURAL NETWORK REPRESENTATION & GENERALIZATION

  • 10:10

    Outlines, Explanation, and Deflecting Adversarial Examples

  • 10:30

    COFFEE & NETWORKING BREAK

  • 11:00

    The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

  • 11:20

    Learning to Act More Like Humans, and Learning with Less Data

  • APPLIED DEEP LEARNING

  • 11:40

    Machine Learning: A New Approach to Drug Discovery

  • 12:00

    Object Detection and Segmentation in 3D

  • 12:20

    LUNCH

  • 13:20

    Deep Learning for Program Repair

  • 13:40

    Instant Recommendations

  • 14:00

    Towards Self-supervised Curious Robots

  • 14:20

    PANEL: How Can We Best Harness The Potential Machine Learning & Overcome Challenges for Innovative Applications

  • 15:00

    END OF EVENT

This website uses cookies to ensure you get the best experience. Learn more