119 citations · 362 across the 17 of their papers we have counts for
17 papers
Subgroup Discovery in Unstructured Data
Ali Arab, Dev Arora, Jialin Lu +1
Subgroup discovery is a descriptive and exploratory data mining technique to identify subgroups in a population that exhibit interesting behavior with respect to a variable of inte…
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Sheng Zhou, Hongjia Xu, Zhuonan Zheng +7
Clustering is a fundamental machine learning task which has been widely studied in the literature. Classic clustering methods follow the assumption that data are represented as fea…
Causal Inference from Small High-dimensional Datasets
Raquel Aoki, Martin Ester
Many methods have been proposed to estimate treatment effects with observational data. Often, the choice of the method considers the application's characteristics, such as type of…
An Interactive Visualization Tool for Understanding Active Learning
Zihan Wang, Jialin Lu, Oliver Snow +1
Despite recent progress in artificial intelligence and machine learning, many state-of-the-art methods suffer from a lack of explainability and transparency. The ability to interpr…
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
Jiawei Chen, Chengquan Jiang, Can Wang +5
Sampling strategies have been widely applied in many recommendation systems to accelerate model learning from implicit feedback data. A typical strategy is to draw negative instanc…
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification
Shuman Peng, Weilian Song, Martin Ester
The goal of few-shot classification is to learn a model that can classify novel classes using only a few training examples. Despite the promising results shown by existing meta-lea…