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04/04/2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
A primary goal of class-incremental learning is to strike a balance betw...
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02/28/2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
With increasing applications of semantic segmentation, numerous datasets...
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10/31/2021
Learning Debiased and Disentangled Representations for Semantic Segmentation
Deep neural networks are susceptible to learn biased models with entangl...
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04/14/2020
Beamforming and Resource Allocation for Multi-User Full-Duplex Wireless Powered Communications in IoT Networks
For a self-sustaining wireless communication system in Internet-of-Thing...
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10/12/2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
Recent works on domain adaptation exploit adversarial training to obtain...
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07/09/2019