• 08:00

    WELCOME & OPENING REMARKS

  • THE DEEP LEARNING LANDSCAPE

  • 08:10

    Deep Learning - Putting Theory into Practice

  • DEEP LEARNING TOOLS & TECHNIQUES

  • 08:30

    How to Explain Neural Network Decisions?

  • 08:50

    Mastering the Real-Time Strategy Game

  • 09:10

    Few-Shot Learning: Thoughts On Where We Should Be Going

  • 09:30

    COFFEE

  • 10:15

    Transfer Learning Less is More

  • APPLICATIONS OF DL METHODS

  • 10:35

    Understanding How Humans Learn

  • 10:55

    Detecting Bugs and Explainability Predictions of ML Model

  • 11:15

    The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

  • 11:30

    NETWORKING & DISCUSSION

  • THIS SCHEDULE TAKES PLACE ON DAY 1

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