OMEGA framework generates novel ML classifiers via meta-prompts and executable code that outperform scikit-learn baselines on 20 benchmark datasets.
Improving pronunciation and accent conversion through knowledge distillation and synthetic ground-truth from native tts
6 Pith papers cite this work. Polarity classification is still indexing.
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SGDM uses a structurally supervised VAE, spatiotemporal EEG encoder with contrastive alignment to visual embeddings, and ControlNet-guided diffusion to generate images from EEG, outperforming prior methods with higher fidelity on abstract and natural image datasets.
PianoCoRe unifies open piano MIDI corpora into 250k performances across 5.6k pieces with note-level alignments and a new refinement pipeline.
FMCL performs one-shot class-aware client clustering in heterogeneous federated learning by deriving semantic signatures from foundation model embeddings and using cosine distance, yielding improved performance and stable clusters compared to prior methods.
A new interactive GUI verifies coarray continuity in TFRSAs under single sensor failures to confirm true two-fold redundancy.
The survey reviews the evolution of accent conversion from early DSP approaches to neural models, situating them in linguistic foundations and highlighting constraints, datasets, evaluations, and future directions.
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An Interactive Graphical Tool to Check the Coarray Continuity of Two-Fold Redundant Sparse Arrays (TFRSAs) Under Single Sensor Failures
A new interactive GUI verifies coarray continuity in TFRSAs under single sensor failures to confirm true two-fold redundancy.