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Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
Recently unpaired multi-domain image-to-image translation has attracted great interests and obtained remarkable progress, where a label vector is utilized to indicate multi-domain information.
MCapsNet: Capsule Network for Text with Multi-Task Learning
Multi-task learning has an ability to share the knowledge among related tasks and implicitly increase the training data.
Learning What to Share: Leaky Multi-Task Network for Text Classification
Neural network based multi-task learning has achieved great success on many NLP problems, which focuses on sharing knowledge among tasks by linking some layers to enhance the performance.
Multi-Task Label Embedding for Text Classification
Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains.
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning
Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains.
OMNIRank: Risk Quantification for P2P Platforms with Deep Learning
P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit each other without complicated verifications.
