Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Domain Adaptation of Conditional Probability Models via Feature Subsetting
Analysis of representations for domain adaptation
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
Progressive Feature Alignment for Unsupervised Domain Adaptation
Wasserstein Distance Guided Representation Learning for Domain Adaptation
DAML: Domain Adaptation Metric Learning
Joint Distribution Optimal Transportation for Domain Adaptation
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
Subspace Distribution Alignment for Unsupervised Domain Adaptation
Layer-wise domain correction for unsupervised domain adaptation
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation
connecting the dots with landmarks : discriminatively learning domain - invariant features for unsupervised domain adaptation .
Domain Adaptation: Learning Bounds and Algorithms
Learning Factorized Representations for Open-set Domain Adaptation
A Unified Framework for Multimodal Domain Adaptation
Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach
Unsupervised Domain Adaptation by Backpropagation
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach
Few-Shot Adversarial Domain Adaptation
Instance Weighting for Domain Adaptation in NLP
Motion Planning for Unexplored Underwater Environments using Autonomous Underwater Vehicles
Displaced dynamic expression regression for real-time facial tracking and animation
A Maximum Entropy Approach To Natural Language Processing
A Hellinger-based discretization method for numeric attributes in classification learning
Development of advanced driver assistance systems with vehicle hardware-inthe-loop simulations ∗