research
∙
07/05/2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Federated learning is a decentralized and privacy-preserving technique t...
share
research
∙
07/05/2023
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix
To improve the robustness of graph neural networks (GNN), graph structur...
research
∙
05/20/2023
Stability and Generalization of ℓ_p-Regularized Stochastic Learning for GCN
Graph convolutional networks (GCN) are viewed as one of the most popular...
research
∙
04/05/2023
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
Learning-based video compression has been extensively studied over the p...
research
∙
03/02/2023
Stochastic Clustered Federated Learning
Federated learning is a distributed learning framework that takes full a...
research
∙
12/09/2022
AP: Selective Activation for De-sparsifying Pruned Neural Networks
The rectified linear unit (ReLU) is a highly successful activation funct...
research
∙
12/09/2022
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
The importance of learning rate (LR) schedules on network pruning has be...
research
∙
12/09/2022
Improving Mutual Information based Feature Selection by Boosting Unique Relevance
Mutual Information (MI) based feature selection makes use of MI to evalu...
research
∙
12/09/2022
Towards Better Long-range Time Series Forecasting using Generative Forecasting
Long-range time series forecasting is usually based on one of two existi...
research
∙
05/26/2022
Aggregating Gradients in Encoded Domain for Federated Learning
Malicious attackers and an honest-but-curious server can steal private c...
research
∙
10/17/2021
Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks
Accurate long-range forecasting of time series data is an important prob...
research
∙
10/17/2021
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
We explore a new perspective on adapting the learning rate (LR) schedule...
research
∙
07/20/2021
Kernel Selection for Stein Variational Gradient Descent
Stein variational gradient descent (SVGD) and its variants have shown pr...
research
∙
07/20/2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
Recent studies show that advanced priors play a major role in deep gener...
research
∙
11/14/2019
Long-range Prediction of Vital Signs Using Generative Boosting via LSTM Networks
Vital signs including heart rate, respiratory rate, body temperature and...
research
∙
12/02/2018
