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Found 4 papers, 1 papers with code
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Long text has posed challenges for sequence to sequence neural models in question generation {--} worse performances were reported if using the whole paragraph (with multiple sentences) as the input.
Fast Approximate $K$-Means via Cluster Closures
Traditional $k$-means is an iterative algorithm---in each iteration new cluster centers are computed and each data point is re-assigned to its nearest center.
Optimized Product Quantization for Approximate Nearest Neighbor Search
Product quantization is an effective vector quantization approach to compactly encode high-dimensional vectors for fast approximate nearest neighbor (ANN) search.
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics
This paper investigates the problem of modeling Internet images and associated text or tags for tasks such as image-to-image search, tag-to-image search, and image-to-tag search (image annotation).
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