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Adaptive Self-training for Few-shot Neural Sequence Labeling
Neural sequence labeling is an important technique employed for many Nat...
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Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
Recent advances in information extraction have motivated the automatic c...
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Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning
Holstein Friesian cattle exhibit individually-characteristic black and w...
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Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data
Product catalogs are valuable resources for eCommerce website. In the ca...
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Decomposed Adversarial Learned Inference
Effective inference for a generative adversarial model remains an import...
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Large-scale Real-time Personalized Similar Product Recommendations
Similar product recommendation is one of the most common scenes in e-com...
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Practical Data Poisoning Attack against Next-Item Recommendation
Online recommendation systems make use of a variety of information sourc...
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A Survey on Causal Inference
Causal inference is a critical research topic across many domains, such ...
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Weak Supervision for Fake News Detection via Reinforcement Learning
Today social media has become the primary source for news. Via social me...
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Atmospheric turbulence removal using convolutional neural network
This paper describes a novel deep learning-based method for mitigating t...
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Towards Data Poisoning Attack against Knowledge Graph Embedding
Knowledge graph embedding (KGE) is a technique for learning continuous e...
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Finding Similar Medical Questions from Question Answering Websites
The past few years have witnessed the flourishing of crowdsourced medica...
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Towards Differentially Private Truth Discovery for Crowd Sensing Systems
Nowadays, crowd sensing becomes increasingly more popular due to the ubi...
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Long-Term Memory Networks for Question Answering
Question answering is an important and difficult task in the natural lan...
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