Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Learning semantic representations using convolutional neural networks for web search
Learning deep structured semantic models for web search using clickthrough data
Multi-task learning for boosting with application to web search ranking
LCNN: Lookup-Based Convolutional Neural Network
Vantage Point Latent Semantic Indexing for multimedia web document search
Multi-part Representation Learning For Cross-domain Web Content Classification Using Neural Networks
Hierarchy-based Image Embeddings for Semantic Image Retrieval
End-to-End Learning of Deep Visual Representations for Image Retrieval
Image understanding and the web: a state-of-the-art review
Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval
Understanding Convolution for Semantic Segmentation
Exploring web scale language models for search query processing
Fully Convolutional Networks for Semantic Segmentation
Convolutional Random Walk Networks for Semantic Image Segmentation
A Non-Sequential Neural Click Model for Web Search
Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation
Convolutional recurrent neural networks: Learning spatial dependencies for image representation
What Do We Understand About Convolutional Networks?
A convolutional neural network-based model for knowledge base completion and its application to search personalization
Improved Word Representation Learning with Sememes
An ontology-driven approach for semantic information retrieval on the Web
binary coding of speech spectrograms using a deep auto - encoder .
Learning the Kernel Matrix with Semi-Definite Programming
Monitoring of Civil Infrastructures by Interferometric Radar: A Review
Security in wireless sensor networks
Towards Bio-Impedance based labs: A review