14 citations · 54 across the 32 of their papers we have counts for
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cs.LG2019★ 14 cited
Attributed Sequence Embedding
Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner +2
Mining tasks over sequential data, such as clickstreams and gene sequences, require a careful design of embeddings usable by learning algorithms. Recent research in feature learnin…
cs.LG2019
Constrained Non-Affine Alignment of Embeddings
Yuwei Wang, Yan Zheng, Yanqing Peng +7
Embeddings are one of the fundamental building blocks for data analysis tasks. Embeddings are already essential tools for large language models and image analysis, and their use is…