Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: High-Order Attention Models for Visual Question Answering
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
Dynamic Coattention Networks For Question Answering
Audio Matters in Visual Attention
Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering
Visual Question Answering as Reading Comprehension
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions
Multimodal Residual Learning for Visual QA
Recurrent Models of Visual Attention
Visual Question Answering With a Hybrid Convolution Recurrent Model
Attention-based Recurrent Neural Networks for Question Answering
A Context-aware Attention Network for Interactive Question Answering
Video Question Answering via Hierarchical Dual-Level Attention Network Learning
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset
Speech-Based Visual Question Answering
VQA: Visual Question Answering
DualNet: Domain-invariant network for visual question answering
Visual Question Answering as a Meta Learning Task
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
3-D Sound Spatialization using Ambisonic Techniques
Comparison of 18F-FACBC and 11C-choline PET/CT in patients with radically treated prostate cancer and biochemical relapse: preliminary results
Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol
Siblings of individuals with autism spectrum disorders across the life course
VQA: Visual Question Answering