12 citations · 17 across the 7 of their papers we have counts for
25 papers
Inkorrect: Online Handwriting Spelling Correction
Andrii Maksai, Henry Rowley, Jesse Berent +1
We introduce Inkorrect, a data- and label-efficient approach for online handwriting (Digital Ink) spelling correction - DISC. Unlike previous work, the proposed method does not req…
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts
Martin Milenkoski, Diego Antognini, Claudiu Musat
In this paper, we describe a method to tackle data sparsity and create recommendations in domains with limited knowledge about user preferences. We expand the variational autoencod…
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
Mohammad Saeed Rad, Thomas Yu, Claudiu Musat +3
Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsamplin…
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
Giuseppe Russo, Nora Hollenstein, Claudiu Musat +1
We introduce CGA, a conditional VAE architecture, to control, generate, and augment text. CGA is able to generate natural English sentences controlling multiple semantic and syntac…
A Swiss German Dictionary: Variation in Speech and Writing
Larissa Schmidt, Lucy Linder, Sandra Djambazovska +3
We introduce a dictionary containing forms of common words in various Swiss German dialects normalized into High German. As Swiss German is, for now, a predominantly spoken languag…
Fast Cross-domain Data Augmentation through Neural Sentence Editing
Guillaume Raille, Sandra Djambazovska, Claudiu Musat
Data augmentation promises to alleviate data scarcity. This is most important in cases where the initial data is in short supply. This is, for existing methods, also where augmenti…