Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Embeddings as a Means of Domain Adaptation for the Machine Translation
Cost Weighting for Neural Machine Translation Domain Adaptation
Optimal Transport for Domain Adaptation
Neural Structural Correspondence Learning for Domain Adaptation
Co-Training for Domain Adaptation
A survey of multi-source domain adaptation
Effective Domain Mixing for Neural Machine Translation
DLID: Deep Learning for Domain Adaptation by Interpolating between Domains
Frustratingly Easy Domain Adaptation
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation.
Coverage Embedding Models for Neural Machine Translation
Unsupervised Transductive Domain Adaptation
Bi-Weighting Domain Adaptation for Cross-Language Text Classification
Analysis of representations for domain adaptation
Unsupervised Multi-Domain Adaptation with Feature Embeddings
What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
Semi-supervised transfer subspace for domain adaptation
Multiple Subspace Alignment Improves Domain Adaptation
Impossibility Theorems for Domain Adaptation
Generative Adversarial Guided Learning for Domain Adaptation
The Application-View Model of the International Standard IEC 61850
Character-level Convolutional Networks for Text Classification
Rapid deployment of curved surfaces via programmable auxetics
On the Design and Analysis of the Privacy-Preserving SVM Classifier
Modeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial