3 papers
cs.CL2024
Iterative Improvement of an Additively Regularized Topic Model
Alex Gorbulev, Vasiliy Alekseev, Konstantin Vorontsov
Topic modelling is fundamentally a soft clustering problem (of known objects -- documents, over unknown clusters -- topics). That is, the task is incorrectly posed. In particular,…
cs.CV2024
Layer-Specific Optimization: Sensitivity Based Convolution Layers Basis Search
Vasiliy Alekseev, Ilya Lukashevich, Ilia Zharikov +1
Deep neural network models have a complex architecture and are overparameterized. The number of parameters is more than the whole dataset, which is highly resource-consuming. This…
cs.CL2024
Determination of the Number of Topics Intrinsically: Is It Possible?
Victor Bulatov, Vasiliy Alekseev, Konstantin Vorontsov
The number of topics might be the most important parameter of a topic model. The topic modelling community has developed a set of various procedures to estimate the number of topic…