(Multiblock) Partial Least Squares Regression for Python
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Updated
Jan 14, 2020 - Python
(Multiblock) Partial Least Squares Regression for Python
Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
Subspace Graph Physics
We use self-expressive layer to learn the affinity matrix of the hidden space of a generator, and we found subspace in GAN. Also we propsed a subspace-based high-fidelity GAN inversion model.
The code for prototype selection and instance ranking using matrix decomposition and subspace learning
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV, 2023.
A novel dynamic learning strategy that overcomes the empirical search of an optimal number of subspace learners in multiple metric learners.
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