Search Results for author:
Found 5 papers, 1 papers with code
Improving Deep Embedded Clustering via Learning Cluster-level Representations
In this paper, we propose a novel DEC model, which we named the deep embedded clustering model with cluster-level representation learning (DECCRL) to jointly learn cluster and instance level representations.
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Extensive experiments based on small Cifar-10 and large-scaled ImageNet demonstrate that our method can obtain sparser networks with great generalization performance while providing quantified reliability for the pruned model.
QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks
It is difficult for existing routing protocols for Mobile Ad Hoc Networks (MANETs) and Vehicular Ad Hoc Networks (VANETs) to adapt the high dynamics of FANETs.
Actions Generation from Captions
In this work, we introduce a new data set, named Action Generation Data Set (AGDS) which is specifically designed to carry out the task of caption-to-action generation.
Realistic Image Generation using Region-phrase Attention
The true-grid region is derived using a set of auxiliary bounding boxes.
