Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Co-Training for Domain Adaptation
Frustratingly Easy Domain Adaptation
Transfer Joint Matching for Unsupervised Domain Adaptation
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching
Domain specialization: a post-training domain adaptation for Neural Machine Translation
Self-ensembling for visual domain adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Progressive Feature Alignment for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation with Similarity Learning
Learning Transferrable Representations for Unsupervised Domain Adaptation
Robust Domain Adaptation on the L1-Grassmannian Manifold
Unsupervised Domain Adaptation for Zero-Shot Learning
Unsupervised Domain Adaptation With Distribution Matching Machines
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation
A Fully Convolutional Tri-Branch Network (FCTN) for Domain Adaptation
Revisiting Batch Normalization For Practical Domain Adaptation
Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation
A survey of domain adaptation for statistical machine translation
Embeddings as a Means of Domain Adaptation for the Machine Translation
Transfer Neural Trees for Heterogeneous Domain Adaptation
Programming embedded systems in C and C
Fitting human exposure data with the Johnson SB distribution
A multi-agent approach for generating ontologies and composing services into executable workflows
Application of robots using pneumatic artificial rubber muscles for operating construction machines
Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models