2 citations · 3 across the 4 of their papers we have counts for
4 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…
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
Witold Sosnowski, Anna Wroblewska, Piotr Gawrysiak
We introduce a new loss function TripleEntropy, to improve classification performance for fine-tuning general knowledge pre-trained language models based on cross-entropy and SoftT…
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…