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Found 3 papers, 1 papers with code
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
This paper introduces a novel and effective solution for OOD generalization of decision tree models, named Invariant Decision Tree (IDT).
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
Invariant learning methods try to find an invariant predictor across several environments and have become popular in OOD generalization.
The Brain-Inspired Decoder for Natural Visual Image Reconstruction
In this paper, we propose a deep learning neural network architecture with biological properties to reconstruct visual image from spike trains.
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