Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Do Explanations make VQA Models more Predictable to a Human?
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
interpretable visual question answering .
Enhancing Visual Question Answering Using Dropout
Explaining Explanation For “Explainable Ai”
Visual Question Answering Agent with Visual and Textual Attention
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models
Visual Question Answering as a Meta Learning Task
Visual Question Answering as Reading Comprehension
Structured Attentions for Visual Question Answering
Measuring Machine Intelligence Through Visual Question Answering
A Focused Dynamic Attention Model for Visual Question Answering
Semantically Guided Visual Question Answering
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining
A User Study on the Effect of Aggregating Explanations for Interpreting Machine Learning Models [ Workin-Progress ]
Generative Attention Model with Adversarial Self-learning for Visual Question Answering
Augmentation for Visual Question Answering
Automatic Generation of Natural Language Explanations
Language Models for Image Captioning: The Quirks and What Works
More Than An Answer: Neural Pivot Network for Visual Qestion Answering
Visual Question Answering with Memory-Augmented Networks
Average reward reinforcement learning: Foundations, algorithms, and empirical results
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defining structural similarity * .
Sort Story: Sorting Jumbled Images and Captions into Stories
The use of screw at the fracture level in the treatment of thoracolumbar burst fractures.