7 citations · 7 across the 3 of their papers we have counts for
3 papers
Do You Even Need More Data? Rethinking LLM Deployment for Label-Scarce Tabular Classification with TabLens
Daria Grushina, Kseniia Kuvshinova, Alina Kostromina +3
Every tabular classification task requires sufficient labeled data. When labels are scarce, practitioners can collect more examples, encode domain expertise into features, or accep…
Performance Modeling of Data Storage Systems using Generative Models
Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov +1
High-precision modeling of systems is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various co…
Robust Neural Particle Identification Models
Aziz Temirkhanov, Artem Ryzhikov, Denis Derkach +3
The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings…