# Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/explicit-reasoning-over-end-to-end-neural-architectures-for-visual-question/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Somak Aditya,Yezhou Yang,Chitta Baral |
| Citations | 53 |
| DOI | 10.1609/aaai.v32i1.11324 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ojs.aaai.org/index.php/AAAI/article/download/11324/11183 |
| OpenAlex ID | https://openalex.org/W2963565420 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Somak Aditya](https://scholariq.org/researchers/somak-aditya/)

## Paper primary topic

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

## Paper topics

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Constraint Satisfaction and Optimization](https://scholariq.org/topics/constraint-satisfaction-and-optimization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.