Publications [#338695] of Lawrence Carin

Papers Published

1. Zhen, Y; Rai, P; Zha, H; Carin, L, Cross-modal similarity learning via pairs, preferences, and active supervision, Proceedings of the National Conference on Artificial Intelligence, vol. 4 (June, 2015), pp. 3203-3209, ISBN 9781577357025
   (last updated on 2024/12/31)

   Abstract:
   We present a probabilistic framework for learning pairwise similarities between objects belonging to different modalities, such as drugs and proteins, or text and images. Our framework is based on learning a binary code based representation for objects in each modality, and has the following key properties: (i) it can leverage both pairwise as well as easy-to-obtain relative preference based cross-modal constraints, (ii) the probabilistic framework naturally allows querying for the most useful/informative constraints, facilitating an active learning setting (existing methods for cross-modal similarity learning do not have such a mechanism), and (iii) the binary code length is learned from the data. We demonstrate the effectiveness of the proposed approach on two problems that require computing pairwise similarities between cross-modal object pairs: cross-modal link prediction in bipartite graphs, and hashing based cross-modal similarity search.