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Did the Model Understand the Question?

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Figure

Table 1: VQA network (Kazemi and Elqursh, 2017): Ac-curacy for prefix attacks; original accuracy is 61.1%.
Figure 3: Visualization of attributions. Question words,preprocessing tokens and column selection priors on the Y-axis
Table 2: Attributions to column names for table-specific default programs (programs returned by NP on empty input ques-tions)
Table 4: ADDSENT attacks that failed to fool the model. With modifications to preserve nouns with high attributions, theseare successful in fooling the model

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