A biased-splitting plus reweighting evaluation method, Vertical Validation, tests whether implicit graph generators can match held-out data in thinly supported regions and selects models that generalize there.
ADAPT : Awesome Domain Adaptation Python Toolbox
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abstract
In this paper, we introduce the ADAPT library, an open source Python API providing the implementation of the main transfer learning and domain adaptation methods. The library is designed with a user friendly approach to facilitate the access to domain adaptation for a wide public. ADAPT is compatible with scikit-learn and TensorFlow and a full documentation is proposed online https://adapt-python.github.io/adapt/ with a substantial gallery of examples.
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cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
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Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions
A biased-splitting plus reweighting evaluation method, Vertical Validation, tests whether implicit graph generators can match held-out data in thinly supported regions and selects models that generalize there.