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Using Explanations to Improve Ensembling of Visual Question Answering Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mooney, Nazneen Fatema Rajani And Raymond J. |
| Copyright Year | 2017 |
| Abstract | We present results on using explanations as auxiliary features to improve stacked ensembles for Visual Question Answering (VQA). VQA is a challenging task that requires systems to jointly reason about natural language and vision. We present results applying a recent ensembling approach to VQA, Stacking with Auxiliary Features (SWAF), which learns to combine the results of multiple systems. We propose using features based on explanations to improve SWAF. Using explanations we are able to improve ensembling of three recent VQA systems. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.utexas.edu/users/ai-lab/downloadPublication.php?filename=http://www.cs.utexas.edu/users/ml/papers/rajani.xai17.pdf&pubid=127647 |
| Alternate Webpage(s) | http://www.cs.utexas.edu/~ai-lab/downloadPublication.php?filename=http://www.cs.utexas.edu/users/ml/papers/rajani.xai17.pdf&pubid=127647 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
