Learning embeddings for transactions via frequent itemsets, Word2Vec, and Doc2Vec

Lattice-based Temporal Association Rule Mining

Black-box Few-shot Knowledge Distillation

A curated list of awesome papers on dataset distillation and related applications.

Classifier with Counterfactual Samples and Active Learning

Deep learning for personalized interpretability for compositional health data

Fair Classification with Gaussian Process (FCGP)

An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020

Bayesian Optimization for Categorical and Continuous Inputs

Bayesian optimization for machine learning model compromise detection

Graph Embedding via Frequent Subgraphs

Unsupervised Sequence Embedding via Sequential Patterns

C# code of ECSM (AI 2016 conference)

Word2Vec based matching model for patient similarity matching

gSpan, an efficient algorithm for mining frequent subgraphs