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Found 5 papers, 4 papers with code
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
The Coarse Semantic Generation module extracts coarse-grained semantics to prevent the compression of space for style diversity learning in multi-category configuration, while the Uniform Style Generation module provides a template of styles that are uniformly distributed in space and implements parallel training.
Representational dissimilarity metric spaces for stochastic neural networks
Quantifying similarity between neural representations -- e. g. hidden layer activation vectors -- is a perennial problem in deep learning and neuroscience research.
Training Stronger Baselines for Learning to Optimize
Learning to optimize (L2O) has gained increasing attention since classical optimizers require laborious problem-specific design and hyperparameter tuning.
Can 3D Adversarial Logos Cloak Humans?
Contrary to the traditional adversarial patch, this new form of attack is mapped into the 3D object world and back-propagates to the 2D image domain through differentiable rendering.
