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Found 6 papers, 1 papers with code
Out-of-Distribution Detection using Maximum Entropy Coding
To each statistic we associate its maximum entropy distribution and with this a universal source coder.
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
We consider a contrastive learning approach to knowledge graph embedding (KGE) via InfoNCE.
Out-of-Distribution Detection using BiGAN and MDL
We consider the following problem: we have a large dataset of normal data available.
How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process
In this paper, we discuss how we built a novel dataset of news articles collected over time.
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models
More specifically, we extend the description length for data analysis in Gaussian graphical models.
Differential Description Length for Hyperparameter Selection in Machine Learning
This paper introduces a new method for model selection and more generally hyperparameter selection in machine learning.
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