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.
6
Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
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.
citing papers explorer
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OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms
OMEGA framework generates novel ML classifiers via meta-prompts and executable code that outperform scikit-learn baselines on 20 benchmark datasets.
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Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
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.
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PianoCoRe: Combined and Refined Piano MIDI Dataset
PianoCoRe unifies open piano MIDI corpora into 250k performances across 5.6k pieces with note-level alignments and a new refinement pipeline.
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FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning
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.
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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.
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Accent Conversion: A Problem-Driven Survey of Sociolinguistic and Technical Constraints
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.