Influence Functions
Sameer explains how influence functions work by computing the effect of changing model parameters on predictions. Nathan highlights the complexity of computing Hessians over large training datasets. The discussion reveals the potential and challenges of applying influence functions in NLP.In this clip
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NLP Highlights
117 - Interpreting NLP Model Predictions, with Sameer Singh
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