4 papers
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
Raphael Azorin, Zied Ben Houidi, Massimo Gallo +2
Tabular data is ubiquitous in many real-life systems. In particular, time-dependent tabular data, where rows are chronologically related, is typically used for recording historical…
Information Theoretic Text-to-Image Alignment
Chao Wang, Giulio Franzese, Alessandro Finamore +2
Diffusion models for Text-to-Image (T2I) conditional generation have recently achieved tremendous success. Yet, aligning these models with user's intentions still involves a labori…
Data Augmentation for Traffic Classification
Chao Wang, Alessandro Finamore, Pietro Michiardi +2
Data Augmentation (DA) -- enriching training data by adding synthetic samples -- is a technique widely adopted in Computer Vision (CV) and Natural Language Processing (NLP) tasks t…
Toward Generative Data Augmentation for Traffic Classification
Chao Wang, Alessandro Finamore, Pietro Michiardi +2
Data Augmentation (DA)-augmenting training data with synthetic samples-is wildly adopted in Computer Vision (CV) to improve models performance. Conversely, DA has not been yet popu…