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ESE & CIS Spring Seminar – “Towards Transparent Representation Learning”
ESE & CIS Spring Seminar – “Towards Transparent Representation Learning”
Machine learning models trained on vast amounts of data have achieved remarkable success across various applications. However, they also pose new challenges and risks for deployment in real-world high-stakes domains. Decisions made by deep learning models are often difficult to interpret, and the underlying mechanisms remain poorly understood. Given that deep learning models operate as […]