Udo Schlegel

Pseudo-label quality, not quantity, is the key to successful self-training in domain adaptation, revealing a critical insight for real-world applications like waste sorting.

Counterfactual explanations for time series classifiers can now be generated without sacrificing temporal integrity, leading to more reliable and plausible outcomes.