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07/08/2023
Learning Variational Neighbor Labels for Test-Time Domain Generalization
This paper strives for domain generalization, where models are trained e...
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06/26/2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Prototype-based meta-learning has emerged as a powerful technique for ad...
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02/22/2023
Energy-Based Test Sample Adaptation for Domain Generalization
In this paper, we propose energy-based sample adaptation at test time fo...
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10/10/2022
Association Graph Learning for Multi-Task Classification with Category Shifts
In this paper, we focus on multi-task classification, where related clas...
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02/16/2022
Learning to Generalize across Domains on Single Test Samples
We strive to learn a model from a set of source domains that generalizes...
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05/09/2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Domain generalization is challenging due to the domain shift and the unc...
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03/03/2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd counting has recently attracted increasing interest in computer vi...
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08/18/2018