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Found 7 papers, 3 papers with code
A Knowledge Graph based Approach for Mobile Application Recommendation
With the rapid prevalence of mobile devices and the dramatic proliferation of mobile applications (apps), app recommendation becomes an emergent task that would benefit both app users and stockholders.
Learning compositional functions via multiplicative weight updates
This paper proves that multiplicative weight updates satisfy a descent lemma tailored to compositional functions.
Is Depth Really Necessary for Salient Object Detection?
To solve this, many recent RGBD-based networks are proposed by adopting the depth map as an independent input and fuse the features with RGB information.
Ranked #1 on
RGB-D Salient Object Detection
on RGBD135
A Review of Computer Vision Methods in Network Security
Network security has become an area of significant importance more than ever as highlighted by the eye-opening numbers of data breaches, attacks on critical infrastructure, and malware/ransomware/cryptojacker attacks that are reported almost every day.
Non-Linearity in Mapping Based Cross-Lingual Word Embeddings
Recent works on cross-lingual word embeddings have been mainly focused on linear-mapping-based approaches, where pre-trained word embeddings are mapped into a shared vector space using a linear transformation.
signSGD with Majority Vote is Communication Efficient And Fault Tolerant
Workers transmit only the sign of their gradient vector to a server, and the overall update is decided by a majority vote.
Cost-Effective Training of Deep CNNs with Active Model Adaptation
Deep convolutional neural networks have achieved great success in various applications.
