787 citations · 2.9k across the 66 of their papers we have counts for
13 papers · 1 filter
DeVLBert: Learning Deconfounded Visio-Linguistic Representations
Shengyu Zhang, Tan Jiang, Tan Wang +6
In this paper, we propose to investigate the problem of out-of-domain visio-linguistic pretraining, where the pretraining data distribution differs from that of downstream data on…
Graph-based Multi-hop Reasoning for Long Text Generation
Liang Zhao, Jingjing Xu, Junyang Lin +3
Long text generation is an important but challenging task.The main problem lies in learning sentence-level semantic dependencies which traditional generative models often suffer fr…
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems
Meimei Liu, Hongxia Yang
Embedding is a useful technique to project a high-dimensional feature into a low-dimensional space, and it has many successful applications including link prediction, node classifi…
Poet: Product-oriented Video Captioner for E-commerce
Shengyu Zhang, Ziqi Tan, Jin Yu +6
In e-commerce, a growing number of user-generated videos are used for product promotion. How to generate video descriptions that narrate the user-preferred product characteristics…
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning
Xuandong Zhao, Jinbao Xue, Jin Yu +2
Network Embedding has been widely studied to model and manage data in a variety of real-world applications. However, most existing works focus on networks with single-typed nodes o…
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Jiezhong Qiu, Qibin Chen, Yuxiao Dong +5
Graph representation learning has emerged as a powerful technique for addressing real-world problems. Various downstream graph learning tasks have benefited from its recent develop…