IAL@ECML-PKDD 2024
Interactive Adaptive Learning 2024

Table of Contents

• Preface
  Summary: There were 11 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 5 as regular papers and 3 as short papers. In addition, we publish an extended abstract of the tutorial that we give as a part of the workshop program.

Extended Abstracts

• Tutorial: Interactive Adaptive Learning 1-6
  Marek Herde, Minh Tuan Pham, Alaa Tharwat, Bernhard Sick
• Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data 7-11
  Manuel Röder Frank-Michael Schleif
• Towards Deep Active Learning in Avian Bioacoustics 12-17
  Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz

Research Papers

• Amortized Active Learning for Nonparametric Functions 18-32
  Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
• General Reusability: Ensuring Long-Term Benefits of Deep Active Learning 33-46
  Paul Hahn, Denis Huseljic, Marek Herde, Bernhard Sick
• Suitability of Modern Neural Networks for Active and Transfer Learning in Surrogate-Assisted Black-Box Optimization 47-67
  Martin Holeňa, Jan Koza
• Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes 68-76
  Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl
• Combining Large Language Model Classifications and Active Learning for Improved Technology-Assisted Review 77-95
  Michiel P. Bron, Berend Greijn, Bruno Messina Coimbra, Rens van de Schoot, Ayoub Bagheri
• Contextual kNN Ensemble Retrieval Approach for Semantic Postal Address Matching 96-111
  El Moundir Faraoun, Nédra Mellouli, Stéphane Millot, Myriam Lamolle