Tag: adversarial machine learning
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Margin-Calibrated Classifier for Efficient Synthesis Planning
Discover how margin-calibrated classifiers enhance property-driven synthesis planning, boosting reaction solve rates and guiding AI-driven chemical synthes...
Multilingual Meta-Learning for Spoken Word Classification
Explore how multilingual meta-learning improves spoken word classification, emphasizing data volume over language diversity for AI performance.
Muon Optimizer: Orthogonalization Boosts Learning Rate & Convergence
Discover how Muon's spectral flattening and orthogonalization enhance learning rates and convergence, outperforming traditional optimizers like SGD.
Scaling Few-Shot Spoken Word Classification with GeMCL
Discover how Generative Meta-Continual Learning scales few-shot spoken word classification to 1000 classes with minimal training data and fast adaptation.
Target-Aligned Generation for Cross-Domain Offline RL
Explore Target-Aligned Coverage Expansion to bridge domain gaps and enhance policy transfer in cross-domain offline reinforcement learning.