FastUMAP speeds up UMAP by 15x on 70k-point datasets via bipartite landmark sampling and Nystrom initialization while retaining 96% of the kNN accuracy of stronger baselines.
IEEE Transactions on Big Data , year=
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Contrastive learning trains unsupervised dense retrievers that beat BM25 on most BEIR datasets and support cross-lingual retrieval across scripts.
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FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling
FastUMAP speeds up UMAP by 15x on 70k-point datasets via bipartite landmark sampling and Nystrom initialization while retaining 96% of the kNN accuracy of stronger baselines.
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Unsupervised Dense Information Retrieval with Contrastive Learning
Contrastive learning trains unsupervised dense retrievers that beat BM25 on most BEIR datasets and support cross-lingual retrieval across scripts.