Tag: Contrastive Learning
All the articles with the tag "Contrastive Learning".
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Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints
This paper proposes a novel method combining contrastive learning with conditional variational autoencoders and mutual information constraints to extract style features from unlabeled data, demonstrating effectiveness on simple datasets like MNIST while facing challenges with natural image datasets due to augmentation limitations and qualitative evaluation.
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Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs
本文提出UniME框架,通过文本判别知识蒸馏和硬负例增强指令微调,利用多模态大语言模型学习通用的多模态嵌入,提高了下游任务的判别性和组合能力。