
Fewshot Learning for Unsupervised Feature Selection
We propose a fewshot learning method for unsupervised feature selection...
read it

MetaLearning for Relative DensityRatio Estimation
The ratio of two probability densities, called a densityratio, is a vit...
read it

Fast Subgraph Matching by Exploiting Search Failures
Subgraph matching is a computeintensive problem that asks to enumerate ...
read it

Sequenced Route Query with Semantic Hierarchy
The trip planning query searches for preferred routes starting from a gi...
read it

Efficient Network Reliability Computation in Uncertain Graphs
Network reliability is an important metric to evaluate the connectivity ...
read it

Semisupervised Anomaly Detection on Attributed Graphs
We propose a simple yet effective method for detecting anomalous instanc...
read it

Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
We propose Absum, which is a regularization method for improving adversa...
read it

Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining
Residual Networks with convolutional layers are widely used in the field...
read it

InvisibleWriteRule: the sufficient condition for safely omittable write operations in concurrency control
Concurrency Control (CC) is the heart of the correctness and is the curr...
read it

Sigsoftmax: Reanalysis of the Softmax Bottleneck
Softmax is an output activation function for modeling categorical probab...
read it

Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
Adaptive learning rate algorithms such as RMSProp are widely used for tr...
read it
Yasuhiro Fujiwara
is this you? claim profile