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Revision Transformers: Getting RiT of No-Nos., , , and . CoRR, (2022)Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions., , , , and . AAAI, page 9533-9540. AAAI Press, (2021)Neural-Probabilistic Answer Set Programming., , , , and . KR, (2022)Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations., , , , , , , and . CoRR, (2020)SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming., , , , and . CoRR, (2021)A Typology to Explore and Guide Explanatory Interactive Machine Learning., , , and . CoRR, (2022)Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations., , , and . CVPR, page 10307-10318. IEEE, (2022)Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations., , and . CVPR, page 3619-3629. Computer Vision Foundation / IEEE, (2021)Where is the Truth? The Risk of Getting Confounded in a Continual World., , , , , and . CoRR, (2024)Boosting Object Representation Learning via Motion and Object Continuity., , , , and . CoRR, (2022)