research
∙
09/07/2023
TaleStream: Supporting Story Ideation with Trope Knowledge
Story ideation is a critical part of the story-writing process. It is ch...
share
research
∙
08/09/2023
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization
Designing responsive visualizations for various screen types can be tedi...
research
∙
02/23/2023
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
Effective figure captions are crucial for clear comprehension of scienti...
research
∙
12/22/2022
Graph Learning with Localized Neighborhood Fairness
Learning fair graph representations for downstream applications is becom...
research
∙
07/15/2022
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization
Online shopping gives customers boundless options to choose from, backed...
research
∙
06/18/2022
AutoGML: Fast Automatic Model Selection for Graph Machine Learning
Given a graph learning task, such as link prediction, on a new graph dat...
research
∙
03/15/2022
Cicero: A Declarative Grammar for Responsive Visualization
Designing responsive visualizations can be cast as applying transformati...
research
∙
12/12/2021
Neural Point Process for Learning Spatiotemporal Event Dynamics
Learning the dynamics of spatiotemporal events is a fundamental problem....
research
∙
07/16/2021
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization
Authors often transform a large screen visualization for smaller display...
research
∙
03/08/2021
Asymptotics of Ridge Regression in Convolutional Models
Understanding generalization and estimation error of estimators for simp...
research
∙
02/25/2021
Machine Unlearning via Algorithmic Stability
We study the problem of machine unlearning and identify a notion of algo...
research
∙
10/24/2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning
Recently, neural-symbolic architectures have achieved success on commons...
research
∙
10/24/2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Symbolic knowledge (e.g., entities, relations, and facts in a knowledge ...
research
∙
09/26/2020
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
The models of n-ary cross sentence relation extraction based on distant ...
research
∙
09/26/2020
Clustering-based Unsupervised Generative Relation Extraction
This paper focuses on the problem of unsupervised relation extraction. E...
research
∙
09/21/2020
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Leveraging text, such as social media posts, for causal inferences requi...
research
∙
01/16/2020
Inferring Individual Level Causal Models from Graph-based Relational Time Series
In this work, we formalize the problem of causal inference over graph-ba...
research
∙
06/07/2019
Figure Captioning with Reasoning and Sequence-Level Training
Figures, such as bar charts, pie charts, and line plots, are widely used...
research
∙
04/18/2019
node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching
Identity stitching, the task of identifying and matching various online ...
research
∙
01/03/2019
Secure Two-Party Feature Selection
In this work, we study how to securely evaluate the value of trading dat...
research
∙
02/07/2018
Learning Role-based Graph Embeddings
Random walks are at the heart of many existing network embedding methods...
research
∙
09/15/2017
Deep Graph Attention Model
Graph classification is a problem with practical applications in many di...
research
∙
05/09/2012
Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks
The majority of real-world networks are dynamic and extremely large (e.g...
research
∙
03/09/2012