Trustworthy Machine Learning (Winter 2023/2024)
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Trustworthy Machine Learning Lecture at the University of Tübingen. Winter Semester 2023/2024. https://scalabletrustworthyai.github....
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Trustworthy ML - Lecture 1 - Introduction & OOD Generalisation (Definitions & evaluation)
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Trustworthy ML - Lecture 2 - OOD Generalisation (Definitions & evaluation, Cue selection)
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Trustworthy ML - Lecture 3 - OOD Generalisation (Cue selection)
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4
Trustworthy ML - Lecture 4 - OOD Generalisation (Adversarial attacks)
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Trustworthy ML - Lecture 5 - OOD Generalisation (Adversarial defenses), Explainability (Definitions)
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Trustworthy ML - Lecture 6 - Explainability (Feature attribution)
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Trustworthy ML - Lecture 7 - Explainability (Feature attribution, Training data attribution)
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Trustworthy ML - Lecture 8 - Explainability (Training data attribution)
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Trustworthy ML - Lecture 9 - Uncertainty (Definitions & evaluation)
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Trustworthy ML - Lecture 10 - Uncertainty (Definitions & evaluation, Epistemic uncertainty)
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Trustworthy ML - Lecture 11 - Uncertainty (Aleatoric uncertainty, Factorisation)
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12
Trustworthy ML - Lecture 12 - Conclusion (Exam, Final topics, Research at STAI)
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