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05/10/2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Measuring similarity of neural networks has become an issue of great imp...
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05/20/2022
On the Prediction Instability of Graph Neural Networks
Instability of trained models, i.e., the dependence of individual node p...
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09/22/2021
Updating Embeddings for Dynamic Knowledge Graphs
Data in Knowledge Graphs often represents part of the current state of t...
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07/09/2021
Redescription Model Mining
This paper introduces Redescription Model Mining, a novel approach to id...
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04/02/2021
Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
As a tool for capturing irregular temporal dependencies (rather than res...
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03/04/2021
A Comparative Evaluation of Quantification Methods
Quantification represents the problem of predicting class distributions ...
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02/19/2021
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
Wikipedia, the largest encyclopedia ever created, is a global initiative...
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02/08/2021
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
Measures of algorithmic fairness often do not account for human percepti...
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10/08/2020
From Asking to Answering: Getting More Involved on Stack Overflow
Online knowledge platforms such as Stack Overflow and Wikipedia rely on ...
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07/20/2020
Global gender differences in Wikipedia readership
Wikipedia represents the largest and most popular source of encyclopedic...
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06/13/2020
Quota-based debiasing can decrease representation of already underrepresented groups
Many important decisions in societies such as school admissions, hiring,...
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05/20/2020
The Effects of Randomness on the Stability of Node Embeddings
We systematically evaluate the (in-)stability of state-of-the-art node e...
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05/18/2020
Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions
We study how the coronavirus disease 2019 (COVID-19) pandemic, alongside...
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03/09/2020
Joint Multiclass Debiasing of Word Embeddings
Bias in Word Embeddings has been a subject of recent interest, along wit...
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01/27/2020
The Effects of Gender Signals and Performance in Online Product Reviews
This work quantifies the effects of signaling and performing gender on t...
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01/27/2020
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
We introduce POLAR - a framework that adds interpretability to pre-train...
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12/23/2019
Privacy Attacks on Network Embeddings
Data ownership and data protection are increasingly important topics wit...
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12/02/2018
Why the World Reads Wikipedia: Beyond English Speakers
As one of the Web's primary multilingual knowledge sources, Wikipedia is...
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05/10/2018
Query for Architecture, Click through Military: Comparing the Roles of Search and Navigation on Wikipedia
As one of the richest sources of encyclopedic information on the Web, Wi...
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05/24/2017
Analysing Timelines of National Histories across Wikipedia Editions: A Comparative Computational Approach
Portrayals of history are never complete, and each description inherentl...
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02/17/2017
