activity
20192024
most citedCAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

89 citations · 279 across the 27 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 1 cited

Adversarial Memory Networks for Action Prediction

Zhiqiang Tao, Yue Bai, Handong Zhao +3

Action prediction aims to infer the forthcoming human action with partially-observed videos, which is a challenging task due to the limited information underlying early observation…

cs.LG2021★ 7 cited

Neural Point Process for Learning Spatiotemporal Event Dynamics

Zihao Zhou, Xingyi Yang, Ryan Rossi +2

Learning the dynamics of spatiotemporal events is a fundamental problem. Neural point processes enhance the expressivity of point process models with deep neural networks. However,…

cs.CV2021★ 7 cited

SelfDoc: Self-Supervised Document Representation Learning

Peizhao Li, Jiuxiang Gu, Jason Kuen +5

We propose SelfDoc, a task-agnostic pre-training framework for document image understanding. Because documents are multimodal and are intended for sequential reading, our framework…

cs.CV2021★ 1 cited

RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks

Kai Li, Curtis Wigington, Chris Tensmeyer +5

Cross-Domain Detection (XDD) aims to train an object detector using labeled image from a source domain but have good performance in the target domain with only unlabeled images. Ex…

cs.CL2021★ 2 cited

Edge: Enriching Knowledge Graph Embeddings with External Text

Saed Rezayi, Handong Zhao, Sungchul Kim +3

Knowledge graphs suffer from sparsity which degrades the quality of representations generated by various methods. While there is an abundance of textual information throughout the…

cs.CV2021★ 4 cited

ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation

Kai Li, Chang Liu, Handong Zhao +2

This paper studies Semi-Supervised Domain Adaptation (SSDA), a practical yet under-investigated research topic that aims to learn a model of good performance using unlabeled sample…

cs.HC2021★ 10 cited

Insight-centric Visualization Recommendation

Camille Harris, Ryan A. Rossi, Sana Malik +5

Visualization recommendation systems simplify exploratory data analysis (EDA) and make understanding data more accessible to users of all skill levels by automatically generating v…