164 citations · 291 across the 40 of their papers we have counts for
9 papers · 1 filter
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context
Milena Filipovic, Blagoj Mitrevski, Diego Antognini +3
Recommender systems research tends to evaluate model performance offline and on randomly sampled targets, yet the same systems are later used to predict user behavior sequentially…
Momentum-based Gradient Methods in Multi-Objective Recommendation
Blagoj Mitrevski, Milena Filipovic, Diego Antognini +3
Multi-objective gradient methods are becoming the standard for solving multi-objective problems. Among others, they show promising results in developing multi-objective recommender…
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
Kirtan Padh, Diego Antognini, Emma Lejal Glaude +2
The goal of fairness in classification is to learn a classifier that does not discriminate against groups of individuals based on sensitive attributes, such as race and gender. One…
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
Mohammad Saeed Rad, Thomas Yu, Claudiu Musat +3
Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsamplin…
Interacting with Explanations through Critiquing
Diego Antognini, Claudiu Musat, Boi Faltings
Using personalized explanations to support recommendations has been shown to increase trust and perceived quality. However, to actually obtain better recommendations, there needs t…
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
Giuseppe Russo, Nora Hollenstein, Claudiu Musat +1
We introduce CGA, a conditional VAE architecture, to control, generate, and augment text. CGA is able to generate natural English sentences controlling multiple semantic and syntac…
A Swiss German Dictionary: Variation in Speech and Writing
Larissa Schmidt, Lucy Linder, Sandra Djambazovska +3
We introduce a dictionary containing forms of common words in various Swiss German dialects normalized into High German. As Swiss German is, for now, a predominantly spoken languag…
Fast Cross-domain Data Augmentation through Neural Sentence Editing
Guillaume Raille, Sandra Djambazovska, Claudiu Musat
Data augmentation promises to alleviate data scarcity. This is most important in cases where the initial data is in short supply. This is, for existing methods, also where augmenti…
Multi-Gradient Descent for Multi-Objective Recommender Systems
Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin +2
Recommender systems need to mirror the complexity of the environment they are applied in. The more we know about what might benefit the user, the more objectives the recommender sy…