Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions
VQA: Visual Question Answering
Exploring Human-like Attention Supervision in Visual Question Answering
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining
IQA: Visual Question Answering in Interactive Environments
Speech-Based Visual Question Answering
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures
Learning Answer Embeddings for Visual Question Answering
Visual Question Answering: A Survey of Methods and Datasets
Visual Question Answering Agent with Visual and Textual Attention
Visual Question Answering as Reading Comprehension
Measuring Machine Intelligence Through Visual Question Answering
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Visual Question Generation as Dual Task of Visual Question Answering
Recurrent and Contextual Models for Visual Question Answering
Question Type Guided Attention in Visual Question Answering
VizWiz: nearly real-time answers to visual questions
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA
VQA with no questions-answers training
VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
Deeply Learned Compositional Models for Human Pose Estimation
Scam Detection in Twitter
Sequence to Sequence Learning with Neural Networks
Converter Volt-Ampere Requirements of the Switched Reluctance Motor Drive
Towards Music Imagery Information Retrieval: Introducing the OpenMIIR Dataset of EEG Recordings from Music Perception and Imagination