Schedule

You must register to attend using Eventbrite. Welcoming coffee and poster session/social will happen on gather.town. You will receive the Zoom and gather.town links at the email that you used to register on Eventbrite – check your email!

    TimeTitleSpeakerPlatform
    08:30-09:00Welcome social eventOrganizersgather.town
    09:00Opening remarksCourtney PaquetteIn-person/Zoom
    09:00-10:00Keynote talk 1: Vision and Language: Progress and Challenges
    Aishwarya Agrawal

    Assistant Professor in the Department of Computer Science and Operations Research at University of Montreal.
    In-person/Zoom
    10:00-10:45Poster spotlights:
    1) Aggregating From Multiple Target-Shifted Sources (Changjian Shui)
    2) Deep Reinforcement Learning at the Edge of the Statistical Precipice (Rishabh Agarwal)
    3) Typing assumptions improve identification in causal discovery (Philippe Brouillard)
    4) On the Limits of Algorithmic Counting and Out-of-Distribution Generalization (Martin Weiss)
    In-person/Zoom
    10:45-11:00Break
    11:00-11:45Keynote talk 2: Practical Directions for Responsible AI Development

    Tegan Maharaj

    Assistant Professor in the Faculty of Information at the University of Toronto.
    In-person/Zoom
    11:45-12:30Poster spotlights:
    1) Improving Fairness in Heterogeneous Federated Learning (Shaoxiang Qin)
    2) Mixture-based Feature Space Learning for Few-shot Image Classification (Arman Afrasiyabi)
    3) Sequential Pipeline Optimization: Bandits-driven Exploration using a Collaborative Filtering Representation (Maxime Heuillet)
    4) Task-Assisted GAN for resolution enhancement, quality improvement and modality translation in fluorescence microscopy (Catherine Bouchard)
    In-person/Zoom
    12:30-14:00Lunch break
    14:00-14:45Keynote talk 3: Deep Reinforcement Learning – Challenges and Opportunities

    Pablo Samuel Castro

    Staff research Software Developer in Google Research (Brain team) in Montreal
    In-person/Zoom
    14:45-15:30Poster spotlights:
    1) Q-Layer: Latent Space Constraints for Robust Convolutional Neural Network (Sirui Song)
    2) CARL: Conditional value-at-risk Adversarial Reinforcement Learning (Mathieu Godbout)
    3) Parallel Gaussian Process-Based Bayesian Optimization for Multiple Cortical Array Neuroprosthetic Control (Julien Rimok)
    4) SESNO: Sample Efficient Social Navigation from Observation (Bobak H Baghi)
    In-person/Zoom
    15:30-15:45Break
    15:45-16:45Poster session (see list of accepted submissions here)gather.town
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