95 citations · 246 across the 15 of their papers we have counts for
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cs.CV2022★ 15 cited
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang, Zhou Zhao, Zhijie Lin
Diffusion Probabilistic Models (DPMs) have shown a powerful capacity of generating high-quality image samples. Recently, diffusion autoencoders (Diff-AE) have been proposed to expl…
cs.MM2022
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective
Zijian Zhang, Chang Shu, Ya Xiao +7
Visual-Semantic Embedding (VSE) aims to learn an embedding space where related visual and semantic instances are close to each other. Recent VSE models tend to design complex struc…
cs.CL2022★ 1 cited
Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
Jialiang Dong, Zhitao Guan, Longfei Wu +2
The wide use of black-box models in natural language processing brings great challenges to the understanding of the decision basis, the trustworthiness of the prediction results, a…