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Found 5 papers, 1 papers with code
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
We therefore propose an adaptation method that can be combined with differential privacy and call it DP-DyLoRA.
Consistency Based Unsupervised Self-training For ASR Personalisation
On-device Automatic Speech Recognition (ASR) models trained on speech data of a large population might underperform for individuals unseen during training.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Tunable Quantum Neural Networks in the QPAC-Learning Framework
Tunable neural networks are quantum circuits made of multi-controlled X gates.
A general framework for scientifically inspired explanations in AI
Explainability in AI is gaining attention in the computer science community in response to the increasing success of deep learning and the important need of justifying how such systems make predictions in life-critical applications.
Saliency Maps Generation for Automatic Text Summarization
Saliency map generation techniques are at the forefront of explainable AI literature for a broad range of machine learning applications.
