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    ML in PL Conference 2023 Aftermovie [short version]

    ML in PL Conference 2023 Aftermovie [short version]

    01:02 |
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    ML in PL Conference 2023 Aftermovie [short version]

    ML in PL Conference 2023 Aftermovie [short version]

    1:02 |
    Sebastian Cygert - Toward continually learning models | ML in PL 23

    Sebastian Cygert - Toward continually learning models | ML in PL 23

    19:39 |
    Panel Discussion – Popularization of ML Research | ML in PL 22

    Panel Discussion – Popularization of ML Research | ML in PL 22

    46:53 |
    Uncertainty estimation in BERT-based Named Entity Recognition | ML in PL 22

    Uncertainty estimation in BERT-based Named Entity Recognition | ML in PL 22

    25:04 |
    Panel Discussion: Industry and Academia | ML in PL 22

    Panel Discussion: Industry and Academia | ML in PL 22

    1:24:39 |
    Adam Polak - The Story Of Explainable Clustering | ML in PL 23

    Adam Polak - The Story Of Explainable Clustering | ML in PL 23

    18:58 |
    Desmond Elliot - Language modelling with pixels | ML in PL 23

    Desmond Elliot - Language modelling with pixels | ML in PL 23

    50:09 |
    Michał Nowicki - Multi-Model Mobile Robot Localization | ML in PL 23

    Michał Nowicki - Multi-Model Mobile Robot Localization | ML in PL 23

    15:20 |
    Sebastian Jaszczur – Fine-Grained Conditional Computation in Transformers | ML in PL 22

    Sebastian Jaszczur – Fine-Grained Conditional Computation in Transformers | ML in PL 22

    18:23 |
    Adam Dziedzic - Privacy for large language models | ML in PL 23

    Adam Dziedzic - Privacy for large language models | ML in PL 23

    23:23 |
    Michał Jamroż - Class fitting in residual convolutional networks | ML in PL 23

    Michał Jamroż - Class fitting in residual convolutional networks | ML in PL 23

    19:48 |
    Cheng Zhang – Causal Decision Making | ML in PL 22

    Cheng Zhang – Causal Decision Making | ML in PL 22

    41:29 |
    Michael Bronstein - Geometric Deep Learning | MLSS Kraków 2023

    Michael Bronstein - Geometric Deep Learning | MLSS Kraków 2023

    3:25:21 |
    Leon Bottou - Borges and AI | ML in PL 23

    Leon Bottou - Borges and AI | ML in PL 23

    36:19 |
    Career Paths in Machine Learning – Panel Discussion at ML in PL Virtual Event 2020

    Career Paths in Machine Learning – Panel Discussion at ML in PL Virtual Event 2020

    1:01:43 |
    ML in PL Conference

    ML in PL Conference

    0:22 |
    Paulina Tomaszewska - Deep Spatial Context - Digital Pathology | ML in PL 23

    Paulina Tomaszewska - Deep Spatial Context - Digital Pathology | ML in PL 23

    21:34 |
    Philippe Preux - Bits of Reinforcement Learning | ML in PL 23

    Philippe Preux - Bits of Reinforcement Learning | ML in PL 23

    59:09 |
    Charles O'Neill - Steering Language Generation | ML in PL 23

    Charles O'Neill - Steering Language Generation | ML in PL 23

    18:25 |
    Gergely Neu - Importance-Weighted Offline Learning Done Right | ML in PL 23

    Gergely Neu - Importance-Weighted Offline Learning Done Right | ML in PL 23

    47:11 |