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Domain adaptation

Domain Adaptation is a field associated with machine learning and transfer learning. This scenario arises when we aim at learning from a source data… 
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Anti-spam techniquesMachine learningSupervised learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Toward a full-scale neural machine translation in production: the Booking.com use case
While some remarkable progress has been made in neural machine translation (NMT) research, there have not been many reports on… 
2017
2017
Guarding Against Adversarial Domain Shifts with Counterfactual Regularization
When training a deep network for image classification, one can broadly distinguish between two types of latent features of images… 
Review
2016
Review
2016
Modeling Social Norms Evolution for Personalized Sentiment Classification
Motivated by the findings in social science that people’s opinions are diverse and variable while together they are shaped by… 
2015
2015
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder
In this work we address the problem of real-time dynamic MRI reconstruction. There are a handful of studies on this topic; these… 
2015
2015
A Bidirectional Recurrent Neural Language Model for Machine Translation
A language model based in continuous representations of words is pre- sented, which has been applied to a statistical machine… 
2014
2014
“One Entity per Discourse” and “One Entity per Collocation” Improve Named-Entity Disambiguation
The “one sense per discourse” (OSPD) and “one sense per collocation” (OSPC) hypotheses have been very influential in Word Sense… 
2014
2014
Predicate-Argument Structure Analysis with Zero-Anaphora Resolution for Dialogue Systems
This paper presents predicate-argument structure analysis (PASA) for dialogue systems in Japanese. Conventional PASA and semantic… 
2011
2011
Detecting Forum Authority Claims in Online Discussions
This paper explores the problem of detecting sentence-level forum authority claims in online discussions. Using a maximum entropy… 
2011
2011
ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
In this paper we present ULISSE, an unsupervised linguistically--driven algorithm to select reliable parses from the output of a… 
2007
2007
Latency Improvements in 3 G Long Term Evolution
To ensure continued competitiveness of 3G technology for the next decade, 3GPP is establishing evolution plans that are following… 
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