198 citations · 759 across the 57 of their papers we have counts for
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cs.LG2023
Probabilistic computation and uncertainty quantification with emerging covariance
Hengyuan Ma, Yang Qi, Li Zhang +2
Building robust, interpretable, and secure AI system requires quantifying and representing uncertainty under a probabilistic perspective to mimic human cognitive abilities. However…
cs.LG2022
FedDKD: Federated Learning with Decentralized Knowledge Distillation
Xinjia Li, Boyu Chen, Wenlian Lu
The performance of federated learning in neural networks is generally influenced by the heterogeneity of the data distribution. For a well-performing global model, taking a weighte…
cs.LG2018★ 2 cited
Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training
Boyu Chen, Wenlian Lu, Ernest Fokoue
Meta-learning is a promising method to achieve efficient training method towards deep neural net and has been attracting increases interests in recent years. But most of the curren…