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Found 6 papers, 2 papers with code
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
data, we propose a clustered Bayesian FL model named cFedbayes by learning different prior distributions for different clients.
TrimTail: Low-Latency Streaming ASR with Simple but Effective Spectrogram-Level Length Penalty
In this paper, we present TrimTail, a simple but effective emission regularization method to improve the latency of streaming ASR models.
Personalized Federated Learning via Variational Bayesian Inference
Federated learning faces huge challenges from model overfitting due to the lack of data and statistical diversity among clients.
Collaborative Attention Network for Person Re-identification
Jointly utilizing global and local features to improve model accuracy is becoming a popular approach for the person re-identification (ReID) problem, because previous works using global features alone have very limited capacity at extracting discriminative local patterns in the obtained feature representation.
Empirical Evaluation of Parallel Training Algorithms on Acoustic Modeling
Deep learning models (DLMs) are state-of-the-art techniques in speech recognition.
