most citedFunction Space Particle Optimization for Bayesian Neural Networks

14 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR20233 cited

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness

Zhanhao Hu, Jun Zhu, Bo Zhang +1

Recent works found that deep neural networks (DNNs) can be fooled by adversarial examples, which are crafted by adding adversarial noise on clean inputs. The accuracy of DNNs on ad…

cs.IR20191 cited

Joint Cluster Unary Loss for Efficient Cross-Modal Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

With the rapid growth of various types of multimodal data, cross-modal deep hashing has received broad attention for solving cross-modal retrieval problems efficiently. Most cross-…

cs.CV2019

Pairwise Teacher-Student Network for Semi-Supervised Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

Hashing method maps similar high-dimensional data to binary hashcodes with smaller hamming distance, and it has received broad attention due to its low storage cost and fast retrie…

stat.ML201914 cited

Function Space Particle Optimization for Bayesian Neural Networks

Ziyu Wang, Tongzheng Ren, Jun Zhu +1

While Bayesian neural networks (BNNs) have drawn increasing attention, their posterior inference remains challenging, due to the high-dimensional and over-parameterized nature. To…

cs.CV20161 cited

Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization

Shifeng Zhang, Jianmin Li, Jinma Guo +1

Hashing method maps similar data to binary hashcodes with smaller hamming distance, and it has received a broad attention due to its low storage cost and fast retrieval speed. Howe…