Name
Title | ||
|---|---|---|
Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples |
Abstract | ||
|---|---|---|
•We develop alpha-divergence minimization with mixed variational posterior.•The proposed method is time-efficient and extendable to various neural networks.•We provide the uncertainty comparison of Bayesian neural networks adopting different posterior approximations.•Experimental results show that our method achieves higher performance. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2020.10.087 | Neurocomputing |
Keywords | DocType | Volume |
Bayesian neural networks,Alpha divergence,Approximate inference | Journal | 423 |
ISSN | Citations | PageRank |
0925-2312 | 1 | 0.39 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| ying liu | 1 | 364 | 46.92 |
| Shiliang Sun | 2 | 1732 | 115.55 |