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598a90004bace6540f0e2230bdc47c09-AuthorFeedback.pdf

Neural Information Processing Systems

For3 example, consider a set of images that correspond to a single train going down a single track. Generative model assumptions: The benefit of using a generative prior is that it is a reusable prior and43 can be used inmultiple inverse problems. The set K as the set of local maximizers: Thank you for the observation.




Bayesian Inference of Temporal Task Specifications from Demonstrations

Neural Information Processing Systems

Temporal logics have been used in prior research as a language forexpressing desirable system behaviors, and canimprovetheinterpretability ofspecifications if expressed as compositions of simpler templates (akin to those described by Dwyer et al. [2]).




BridgingtheGapbetweenObjectandImage-level RepresentationsforOpen-VocabularyDetection

Neural Information Processing Systems

Open-vocabulary detection (OVD) aims to generalize beyond the limited number of base classes labeled during the training phase. The goal is to detect novel classes defined by an unbounded (open)vocabularyatinference.