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Found 3 papers, 1 papers with code
Approximate Attributions for Off-the-Shelf Siamese Transformers
In this work, we reassess these restrictions and propose (i) a model with exact attribution ability that retains the original model's predictive performance and (ii) a way to compute approximate attributions for off-the-shelf models.
An Attribution Method for Siamese Encoders
Despite the success of Siamese encoder models such as sentence transformers (ST), little is known about the aspects of inputs they pay attention to.
Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation
A number of models for neural content-based news recommendation have been proposed.
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