research
∙
08/15/2023
Action Class Relation Detection and Classification Across Multiple Video Datasets
The Meta Video Dataset (MetaVD) provides annotated relations between act...
share
research
∙
01/04/2023
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
Barlow Twins and VICReg are self-supervised representation learning mode...
research
∙
11/01/2021
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding
For knowledge graph completion, two major types of prediction models exi...
research
∙
12/04/2019
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion
Methods based on vector embeddings of knowledge graphs have been activel...
research
∙
09/04/2019
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
Bilinear diagonal models for knowledge graph embedding (KGE), such as Di...
research
∙
02/08/2019
Binarized Knowledge Graph Embeddings
Tensor factorization has become an increasingly popular approach to know...
research
∙
08/25/2018
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion
Embedding-based methods for knowledge base completion (KBC) learn repres...
research
∙
06/11/2018
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs
This paper proposes an inexpensive way to learn an effective dissimilari...
research
∙
06/18/2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Knowledge base completion (KBC) aims to predict missing information in a...
research
∙
07/03/2015
Ridge Regression, Hubness, and Zero-Shot Learning
This paper discusses the effect of hubness in zero-shot learning, when r...
research
∙
01/04/2013
The Sum-over-Forests density index: identifying dense regions in a graph
This work introduces a novel nonparametric density index defined on grap...
research
∙
12/07/2012
