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Found 5 papers, 1 papers with code
Leveraging Causal Inference for Explainable Automatic Program Repair
The experiments on four programming languages (Java, C, Python, and JavaScript) show that CPR can generate causal graphs for reasonable interpretations and boost the performance of bug fixing in automatic program repair.
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
Therefore, we propose an approach to derive utterance-level speaker embeddings via a Transformer architecture that uses a novel loss function named diffluence loss to integrate the feature information of different Transformer layers.
QSpeech: Low-Qubit Quantum Speech Application Toolkit
However, Quantum Neural Network (QNN) running on low-qubit quantum devices would be difficult since it is based on Variational Quantum Circuit (VQC), which requires many qubits.
Federated Learning with Dynamic Transformer for Text to Speech
Text to speech (TTS) is a crucial task for user interaction, but TTS model training relies on a sizable set of high-quality original datasets.
Empirical Studies of Institutional Federated Learning For Natural Language Processing
It is also found that the FL models are sensitive to data load balancedness among client datasets.
