29 citations · 145 across the 25 of their papers we have counts for
3 papers · 1 filter
Diagnostics-Guided Explanation Generation
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1
Explanations shed light on a machine learning model's rationales and can aid in identifying deficiencies in its reasoning process. Explanation generation models are typically train…
Unsupervised Multi-Index Semantic Hashing
Christian Hansen, Casper Hansen, Jakob Grue Simonsen +2
Semantic hashing represents documents as compact binary vectors (hash codes) and allows both efficient and effective similarity search in large-scale information retrieval. The sta…
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering
Christian Hansen, Casper Hansen, Jakob Grue Simonsen +1
When reasoning about tasks that involve large amounts of data, a common approach is to represent data items as objects in the Hamming space where operations can be done efficiently…