3 citations · 4 across the 2 of their papers we have counts for
3 papers
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Tim Poštuvan, Claas Grohnfeldt, Michele Russo +1
Anomaly detection in continuous-time dynamic graphs is an emerging field yet under-explored in the context of learning algorithms. In this paper, we pioneer structured analyses of…
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
Frano Rajič, Ivan Stresec, Axel Marmet +1
There is no such thing as a perfect dataset. In some datasets, deep neural networks discover underlying heuristics that allow them to take shortcuts in the learning process, result…
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective
Tim Poštuvan, Jiaxuan You, Mohammadreza Banaei +2
One of the most important factors that contribute to the success of a machine learning model is a good training objective. Training objective crucially influences the model's perfo…