Submission & Key Dates

We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty  to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024).

We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include, but are not limited to:

• Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, partial label/superset learning, positive-unlabeled learning, ...);

• Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, calibration, soft clustering, ...);

• Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...);

• Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory);

• Human-AI interaction and uncertainty communication;

• Active learning, adversarial and robust learning, anomaly detection, out-of-domain learning/open set recognition;

• Crowd-sourcing and data perspectivism

As specified in the Submission Instructions, the WSCL takes part in the ECAI 2024 Review Transfer Option, that allows papers rejected at the ECAI 2024 main track to be considered for workshop presentation based solely on the main-track reviews.

If you wish to take part in this option, aside from submitting your contribution as detailed in the Submission Instructions, you should fill-in the following form by July 11th:

https://forms.gle/QPav5rHVMCuSMhFZ9