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BayLearn2020 Keynote: Hierarchy of Knowledge in ML & Related Fields and Its Consequences - Dr. Gebru
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BayLearn2020 Keynote: Hierarchy of Knowledge in ML & Related Fields and Its Consequences - Dr. G...
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BayLearn2020 Keynote: Learning from Data in Single-Cell Transcriptomics - Prof. Sandrine Dudoit
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BayLearn2020: Welcome to BayLearn 2020
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THE HIERARCHY OF KNOWLEDGE IN MACHINE LEARNING AND RELATED FIELDS AND ITS CONSEQUENCES
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Dr. Timnit Gebru: Hierarchy of Knowledge in Machine Learning & Related Fields and Its Consequenc...
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Ethical AI
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Cambridge BSU Lecture in Biomedical Data Science - Prof Sandrine Dudoit
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“All Names are Pseudonyms”: A Critical Reflection on Pseudonymizing Names in HCI
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Perspectives on Unsupervised Representation Learning - Paolo Favaro
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Chelsea Finn (Stanford University): ICCV 2021 Workshop on Multi-Task Learning in Computer Vision
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Sandrine Dudoit - TorBUG Talk - Sep 24 2014
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Susan Athey and Stefan Wager: Estimating Heterogeneous Treatment Effects in R
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Bias in AI: Why it’s a problem and what should be done about it? - May 12, 2021
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Marjorie Brand: 'Transcriptional Control of Cell Fate Decisions'
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Chelsea Finn 'Continual, Generic Learning & Meta-Learning For Robotic Interaction'
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CoRL 2020, Spotlight Talk 499: MATS: An Interpretable Trajectory Forecasting Representation for P...
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Batch (Offline) RL (Part 1)
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Migrating Archives of Reality - Nanna Bonde Thylstrup: The Politics of Mass Digitization
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Benjamin Van Roy: Reinforcement Learning, Bit by Bit
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7. Model Selection for Offline Reinforcement Learning: Practical Considerations for Hlthcre Settings
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Khipu 2019 talk by Chelsea Finn: Robotics and Continuous Control
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LIDS@80: Session 1 Keynote — Benjamin Van Roy (Stanford University)
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The Long History of Transphobic Algorithmic Bias
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A Look Inside the Black-Box: Towards the Interpretability of Variational Autoencoder for ...
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