Abstract is missing.
- MetaREVEAL: RL-based Meta-learning from Learning CurvesManh-Hung Nguyen, Isabelle Guyon, Lisheng Sun-Hosoya, Nathan Grinsztajn. 1-20 [doi]
- Uncertainty and Utility Sampling with Pre-ClusteringZhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick. 21-34 [doi]
- Evidential Nearest Neighbours in Active LearningDaniel Zhu, Arnaud Martin, Yolande Le Gall, Jean-Christophe Dubois, Vincent Lemaire 0001. 35-49 [doi]
- SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification LatencyMaria Arostegi, Jesus L. Lobo, Javier Del Ser. 50-64 [doi]
- A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous DrivingMaarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick. 65-69 [doi]
- Active Class Selection with Uncertain Class ProportionsMirko Bunse, Katharina Morik. 70-79 [doi]
- Sample Noise Impact on Active LearningAlexandre Abraham, Léo Dreyfus-Schmidt. 80-88 [doi]
- Contrastive Representations for Label Noise Require Fine-TuningPierre Nodet, Vincent Lemaire 0001, Alexis Bondu, Antoine Cornuéjols. 89-104 [doi]
- Combining Gaussian Processes with Neural Networks for Active Learning in OptimizationJirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena. 105-120 [doi]
- Stochastic Adversarial Gradient Embedding for Active Domain AdaptationVictor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot. 121-137 [doi]