Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Ballpark Learning: Estimating Labels from Rough Group Comparisons
From Group to Individual Labels Using Deep Features
Learning from positive and unlabeled examples
Learning by Associating Ambiguously Labeled Images
Learning from labeled features using generalized expectation criteria
A Heuristic Approach to Classifying Labeled/Unlabeled Data Sets
Learning from labeled and unlabeled data
Multi-label learning by exploiting label dependency
Learning Classification with Unlabeled Data
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Learning classification models with soft-label information
Multi-Label Learning with Global and Local Label Correlation
Estimating the class prior and posterior from noisy positives and unlabeled data
Bootstrapped Learning of Semantic Classes from Positive and Negative Examples
Nonparametric semi-supervised learning of class proportions
End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression
A shared-subspace learning framework for multi-label classification
Tri-training: exploiting unlabeled data using three classifiers
PU-LP: A novel approach for positive and unlabeled learning by label propagation
Efficient Learning of Mahalanobis Metrics for Ranking
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness
incremental and decremental support vector machine learning .
Results from MBARI's integrated mapping system
Characteristics of patients losing vision after 2 years of monthly dosing in the phase III ranibizumab clinical trials.
Learning object detection from a small number of examples: the importance of good features
Psoriatic arthritis: correlation between imaging and pathology.