10 citations · 20 across the 6 of their papers we have counts for
7 papers
Temporal graph models fail to capture global temporal dynamics
Michał Daniluk, Jacek Dąbrowski
A recently released Temporal Graph Benchmark is analyzed in the context of Dynamic Link Property Prediction. We outline our observations and propose a trivial optimization-free bas…
Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model
Michał Daniluk, Jacek Dąbrowski, Barbara Rychalska +1
In this paper we present our 2nd place solution to ACM RecSys 2021 Challenge organized by Twitter. The challenge aims to predict user engagement for a set of tweets, offering an ex…
Modeling Multi-Destination Trips with Sketch-Based Model
Michał Daniluk, Barbara Rychalska, Konrad Gołuchowski +1
The recently proposed EMDE (Efficient Manifold Density Estimator) model achieves state of-the-art results in session-based recommendation. In this work we explore its application t…
I know why you like this movie: Interpretable Efficient Multimodal Recommender
Barbara Rychalska, Dominika Basaj, Jacek Dąbrowski +1
Recently, the Efficient Manifold Density Estimator (EMDE) model has been introduced. The model exploits Local Sensitive Hashing and Count-Min Sketch algorithms, combining them with…
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…
Frustratingly Short Attention Spans in Neural Language Modeling
Michał Daniluk, Tim Rocktäschel, Johannes Welbl +1
Neural language models predict the next token using a latent representation of the immediate token history. Recently, various methods for augmenting neural language models with an…