Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Training Neural Nets to Aggregate Crowdsourced Responses
Learning From Crowds
Autonomous Crowdsourcing through Human-Machine Collaborative Learning
Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems
Actively Searching for an Effective Neural-Network Ensemble
Spatial Crowdsourcing: Challenges and Opportunities
Data Driven Evaluation of Crowds
Truth Inference in Crowdsourcing: Is the Problem Solved?
Generative Models for Learning from Crowds
Self-Supervised Neural Aggregation Networks for Human Parsing
Multitask Learning with Deep Neural Networks for Community Question Answering
CROWDMOS: An approach for crowdsourcing mean opinion score studies
Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments
Identifying and Accounting for Task-Dependent Bias in Crowdsourcing
Error Rate Bounds and Iterative Weighted Majority Voting for Crowdsourcing
CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data
Max Algorithms in Crowdsourcing Environments
Towards a Reusable Infrastructure for Crowdsourcing
CrowdDB: answering queries with crowdsourcing
Towards a classification model for tasks in crowdsourcing
Crowdsourcing Inference-Rule Evaluation
compliant actuator designs .
Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings
Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition
Giant MagnetoResistive ( GMR ) Sensors for Non-Destructive Detection of Magnetic Flux Leakage from Sub-Surface Defects in Steels
flat minima .