Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: On the hardness of domain adaptation and the utility of unlabeled target samples
Impossibility Theorems for Domain Adaptation
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories
Unsupervised Domain Adaptation by Backpropagation
Heterogeneous Domain Adaptation for Multiple Classes
Beyond Sharing Weights for Deep Domain Adaptation
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
Heterogeneous Domain Adaptation Using Manifold Alignment
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
Wasserstein Distance Guided Representation Learning for Domain Adaptation
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Domain adaptation from multiple sources via auxiliary classifiers
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation
A Theory of Output-Side Unsupervised Domain Adaptation
Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
Domain Adaptation via Pseudo In-Domain Data Selection
importance sampling for reinforcement learning with multiple objectives .
Fetal ECG Extraction from Abdominal Signals: A Review on Suppression of Fundamental Power Line Interference Component and Its Harmonics
Learning a sparse codebook of facial and body microexpressions for emotion recognition
Synthetic aperture ultrasound imaging
Friction Compensation of DC Motors for Precise Motion Control Using Disturbance Observer