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|id=Vol-3079/ial2021_3_contents
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|pdfUrl=https://ceur-ws.org/Vol-3079/ial2021_3_contents.pdf
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-3079/ial2021_3_contents.pdf</pdf>
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                                   Table of Contents




Research Papers

MetaREVEAL: RL-based Meta-learning from Learning Curves . . . . . . . . .                                     1
  Manh Hung Nguyen, Isabelle Guyon, Lisheng Sun-Hosoya and
  Nathan Grinsztajn
Uncertainty and Utility Sampling with Pre-Clustering . . . . . . . . . . . . . . . . .                      21
  Zhixin Huang, Yujiang He, Stephan Vogt and Bernhard Sick
Evidential Nearest Neighbours in Active Learning . . . . . . . . . . . . . . . . . . . . .                  35
   Daniel Zhu, Arnaud Martin, Yolande Le Gall, Jean-Christophe
   Dubois and Vincent Lemaire
SLAYER: A Semi-supervised Learning Approach for Drifting Data
Streams under Extreme Verification Latency . . . . . . . . . . . . . . . . . . . . . . . . .                50
   Maria Arostegi, Jesus Lobo and Javier Del Ser
A Concept for Highly Automated Pre-Labeling via Cross-Domain
Label Transfer for Perception in Autonomous Driving . . . . . . . . . . . . . . . . .                       65
   Maarten Bieshaar, Marek Herde, Denis Huselijc and Bernhard Sick

Active Class Selection with Uncertain Class Proportions . . . . . . . . . . . . . . .                       70
   Mirko Bunse and Katharina Morik
Sample Noise Impact on Active Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . .            80
   Alexandre Abraham and Léo Dreyfus-Schmidt

Contrastive Representations for Label Noise Require Fine-Tuning . . . . . . .                               89
   Pierre Nodet, Vincent Lemaire, Alexis Bondu and Antoine
   Cornuéjols
Combining Gaussian Processes with Neural Networks for Active
Learning in Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
   Jiřı́ Růžička, Jan Koza, Jiřı́ Tumpach, Zbyněk Pitra and Martin
   Holena
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation 121
   Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami
   and Hudelot Céline

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