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stat.ML2026
Joint Contrastive-Adversarial Representation Learning for Unsupervised Domain Adaptation
Yuling Jiao, Lican Kang, Jerry Zhijian Yang +2
Effective unsupervised domain adaptation (UDA) requires a representation that captures transferable structure from both the labeled source domain and the unlabeled target domain. W…
cs.CV2026
Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
Feijiang Li, Zhenxiong Li, Jieting Wang +3
Image clustering aims to partition unlabeled image datasets into distinct groups. A core aspect of this task is constructing and leveraging prior knowledge to guide the clustering…