10 citations · 12 across the 2 of their papers we have counts for
4 papers
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Barbara Rychalska, Piotr Bąbel, Konrad Gołuchowski +2
The area of graph embeddings is currently dominated by contrastive learning methods, which demand formulation of an explicit objective function and sampling of positive and negativ…
An efficient manifold density estimator for all recommendation systems
Jacek Dąbrowski, Barbara Rychalska, Michał Daniluk +5
Many unsupervised representation learning methods belong to the class of similarity learning models. While various modality-specific approaches exist for different types of data, a…
Multi-modal Embedding Fusion-based Recommender
Anna Wroblewska, Jacek Dabrowski, Michal Pastuszak +5
Recommendation systems have lately been popularized globally, with primary use cases in online interaction systems, with significant focus on e-commerce platforms. We have develope…
A Strong Baseline for Fashion Retrieval with Person Re-Identification Models
Mikolaj Wieczorek, Andrzej Michalowski, Anna Wroblewska +1
Fashion retrieval is the challenging task of finding an exact match for fashion items contained within an image. Difficulties arise from the fine-grained nature of clothing items,…