Program
The workshop will take place via Zoom on Monday September 14. The schedule of live talks is as follows:
09:00-09:10 Welcome and Introduction
09:10-09:30 Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía and Michael Rapp
Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning
09:30-09:50 Sophie Burkhardt, Jannis Brugger, Zahra Ahmadi and Stefan Kramer
A Deep Convolutional DNF Learner
09:50-10:10 Florian Beck and Johannes Fürnkranz
An Investigation into Mini-Batch Rule Learning
10:10-10:30 Dimitrios Iliadis, Bernard De Baets and Willem Waegeman
AutoMTP: An automated multi-target prediction framework
10:30-11:00 Virtual Coffee Break
11:00-11:20 Hany Abdulsamad and Jan Peters
Learning Hybrid Dynamics and Control
11:20-11:40 Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari and Guy Van den Broeck
Relax, compensate and then integrate
11:40-12:00 Diyuan Lu, Nenad Polomac, Iskra Gacheva, Elke Hattingen and Jochen Triesch
Distill and Augment: Deep Learning for Human-expert-level Brain Tumor Detection
12:00-12:20 Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych and Stefan Kramer
Focusing knowledge-based graph argument mining via topic modeling
12:20-12:40 Anne Lauscher, Leonardo Ribeiro, Olga Majewska, Iryna Gurevych, Nikolai Rozanov and Goran Glavaš
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
12:40-12:45 Concluding Remarks