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Generating Rationales in Visual Question Answering
Despite recent advances in Visual QuestionAnswering (VQA), it remains a challenge todetermine how much success can be attributedto sound reasoning and comprehension ability. We seek to investigate this question by propos-ing a new task ofrationale generation.
Learning to Discover Social Circles in Ego Networks
We develop a model for detecting circles that combines network structure as well as user profile information.
Exponential Family Graph Matching and Ranking
We present a method for learning max-weight matching predictors in bipartite graphs.
Robust Near-Isometric Matching via Structured Learning of Graphical Models
Models for near-rigid shape matching are typically based on distance-related features, in order to infer matches that are consistent with the isometric assumption.
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