Statistical Learning
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Selective Sampling and Imitation Learning via Online Regression
Neural Information Processing Systems
We consider the problem of Imitation Learning (IL) by actively querying noisy expert for feedback.
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Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
Neural Information Processing Systems
Learning modular object-centric representations is crucial for systematic generalization.
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S Supplementary Materials 1 We confirm that the dataset will be available to the community under an MIT licence and that we
Neural Information Processing Systems
For what purpose was the dataset created?
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