521 citations · 1k across the 29 of their papers we have counts for
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Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach
Xi Peng, Fengchun Qiao, Long Zhao
We are concerned with a worst-case scenario in model generalization, in the sense that a model aims to perform well on many unseen domains while there is only one single domain ava…
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Yu Tian, Jian Ren, Menglei Chai +4
Image and video synthesis are closely related areas aiming at generating content from noise. While rapid progress has been demonstrated in improving image-based models to handle la…
Uncertainty-guided Model Generalization to Unseen Domains
Fengchun Qiao, Xi Peng
We study a worst-case scenario in generalization: Out-of-domain generalization from a single source. The goal is to learn a robust model from a single source and expect it to gener…
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma, Jian Ren, Long Zhao +3
A common assumption in multimodal learning is the completeness of training data, i.e., full modalities are available in all training examples. Although there exists research endeav…