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IAL@PKDD/ECML 2021: Bilbao, Spain (Virtual Event)
- Georg Krempl, Vincent Lemaire, Daniel Kottke, Andreas Holzinger, Barbara Hammer:
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain, September 13, 2021. CEUR Workshop Proceedings 3079, CEUR-WS.org 2022
Research Papers
- Manh Hung Nguyen, Isabelle Guyon, Lisheng Sun-Hosoya, Nathan Grinsztajn:
MetaREVEAL: RL-based Meta-learning from Learning Curves. 1-20 - Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick:
Uncertainty and Utility Sampling with Pre-Clustering. 21-34 - Daniel Zhu, Arnaud Martin, Yolande Le Gall, Jean-Christophe Dubois, Vincent Lemaire:
Evidential Nearest Neighbours in Active Learning. 35-49 - Maria Arostegi, Jesus L. Lobo, Javier Del Ser:
SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency. 50-64 - Maarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick:
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving. 65-69 - Mirko Bunse, Katharina Morik:
Active Class Selection with Uncertain Class Proportions. 70-79 - Alexandre Abraham, Léo Dreyfus-Schmidt:
Sample Noise Impact on Active Learning. 80-88 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. 89-104 - Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena:
Combining Gaussian Processes with Neural Networks for Active Learning in Optimization. 105-120 - Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. 121-137
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