research
∙
06/06/2023
Diversifying Joint Vision-Language Tokenization Learning
Building joint representations across images and text is an essential st...
share
research
∙
12/19/2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Knowledge graph (KG) link prediction aims to infer new facts based on ex...
research
∙
09/12/2022
Knowledge Base Question Answering: A Semantic Parsing Perspective
Recent advances in deep learning have greatly propelled the research on ...
research
∙
06/03/2021
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Knowledge bases (KBs) and text often contain complementary knowledge: KB...
research
∙
09/19/2019
Learning Sparse Mixture of Experts for Visual Question Answering
There has been a rapid progress in the task of Visual Question Answering...
research
∙
05/27/2019
Structure Learning for Neural Module Networks
Neural Module Networks, originally proposed for the task of visual quest...
research
∙
05/28/2018
Memory Augmented Self-Play
Self-play is an unsupervised training procedure which enables the reinfo...
research
∙
05/21/2018
Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"
This is the reproducibility report for the paper "Learning To Count Obje...
research
∙
01/31/2018
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph
While conversing with chatbots, humans typically tend to ask many questi...
research
∙
03/14/2017
