2 citations · 2 across the 3 of their papers we have counts for
3 papers
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification
Witold Sosnowski, Anna Wróblewska, Karolina Seweryn +1
Distance Metric Learning (DML) has attracted much attention in image processing in recent years. This paper analyzes its impact on supervised fine-tuning language models for Natura…
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning
Witold Sosnowski, Karolina Seweryn, Anna Wróblewska +1
This paper presents an analysis regarding an influence of the Distance Metric Learning (DML) loss functions on the supervised fine-tuning of the language models for classification…
Deep Reinforcement Learning for Resource Allocation in Business Processes
Kamil Żbikowski, Michał Ostapowicz, Piotr Gawrysiak
Assigning resources in business processes execution is a repetitive task that can be effectively automated. However, different automation methods may give varying results that may…