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Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments Thanh-Dat Truong
Continual semantic segmentation aims to learn new classes while maintaining the information from the previous classes.
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Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal
We show here that this approach can effectively be used to make a large pretrained network equivariant.
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Mechanism Design for Collaborative Normal Mean Estimation
However, simply pooling everyone's data and sharing with each other can lead to free-riding [
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Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
Bilinear bandits (Jun et al., 2019; Lu et al., 2021; Kang et al., 2022) are an important class of
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