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Found 5 papers, 1 papers with code
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
In real-world machine learning systems, labels are often derived from user behaviors that the system wishes to encourage.
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
In this paper, we aim to the address of the problem of few shot task learning by exploiting and transferring from a different task which admits a related but disparate label space.
A Generalization Error Bound for Multi-class Domain Generalization
Domain generalization is the problem of assigning labels to an unlabeled data set, given several similar data sets for which labels have been provided.
Simple Regret Minimization for Contextual Bandits
Contextual bandits are a sub-class of MABs where, at every time step, the learner has access to side information that is predictive of the best arm.
Kernel Embedding Approaches to Orbit Determination of Spacecraft Clusters
These weak conditions allow us to perform orbit determination with noisy and highly non-linear observations such as those presented by range-rate only (Doppler only) observations.
