16 citations · 16 across the 2 of their papers we have counts for
4 papers
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets
Susie Xi Rao, Johannes Rausch, Peter Egger +1
Tables have been an ever-existing structure to store data. There exist now different approaches to store tabular data physically. PDFs, images, spreadsheets, and CSVs are leading e…
Online Active Model Selection for Pre-trained Classifiers
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlaš +3
Given pre-trained classifiers and a stream of unlabeled data examples, how can we actively decide when to query a label so that we can distinguish the best model from the rest…
A Principled Approach to Data Valuation for Federated Learning
Tianhao Wang, Johannes Rausch, Ce Zhang +2
Federated learning (FL) is a popular technique to train machine learning (ML) models on decentralized data sources. In order to sustain long-term participation of data owners, it i…
DocParser: Hierarchical Structure Parsing of Document Renderings
Johannes Rausch, Octavio Martinez, Fabian Bissig +2
Translating renderings (e. g. PDFs, scans) into hierarchical document structures is extensively demanded in the daily routines of many real-world applications. However, a holistic,…