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Active Learning

323 directly classified papers

Papers per year

Papers

The Label Complexity of Active Learning from Observational Data NIPS 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
APLenty: annotation tool for creating high-quality datasets using active and proactive learning EMNLP 2018
Active learning for deep semantic parsing ACL 2018
Extracting Commonsense Properties from Embeddings with Limited Human Guidance ACL 2018
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus ACL 2018
Learning How to Actively Learn: A Deep Imitation Learning Approach ACL 2018
Safe Active Learning for Time-Series Modeling with Gaussian Processes NIPS 2018
On the Relationship between Data Efficiency and Error for Uncertainty Sampling ICML 2018
Lean Multiclass Crowdsourcing CVPR 2018
Exploiting Transitivity for Learning Person Re-Identification Models on a Budget CVPR 2018
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NIPS 2018
Active Learning for Non-Parametric Regression Using Purely Random Trees NIPS 2018
Active Matting NIPS 2018
Efficient nonmyopic batch active search NIPS 2018
Using active learning to expand training data for implicit discourse relation recognition EMNLP 2018
Learning a Policy for Opportunistic Active Learning EMNLP 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018
FrameIt: Ontology Discovery for Noisy User-Generated Text EMNLP 2018
Non-Uniform Subset Selection for Active Learning in Structured Data CVPR 2017
Active Learning from Peers NIPS 2017
Noise-Tolerant Interactive Learning Using Pairwise Comparisons NIPS 2017
Active Exploration for Learning Symbolic Representations NIPS 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017
Detecting annotation noise in automatically labelled data ACL 2017