Tag: adversarial machine learning
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Language Diffusion Models as Associative Memories Explained
Explore how language diffusion models act as associative memories, balancing memorization and generalization to retrieve unseen data effectively.
Probabilistic Transformer for Advanced Time Series Modeling
Discover the ST-PT framework enhancing time series forecasting with probabilistic transformers for robust, adaptable, and interpretable models.
Toolkit to Detect Spurious Correlations in Speech Data
Discover a toolkit designed to identify spurious correlations in speech datasets, enhancing accuracy and reliability in speech recognition systems.
SynSur: Synthetic Defect Generation for Industrial Inspection
Discover SynSur, an end-to-end pipeline that generates synthetic industrial surface defects to enhance defect detection and improve model training.
Enhancing Encoder Speech Models with Text-Only Data
Discover how integrating text-only data boosts encoder-based speech recognition accuracy and efficiency in modern models.