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Active Learning

1885 directly classified papers

Papers per year

Papers

Active Incremental Learning of Robot Movement Primitives CORL 2017
The Power of Random Counterexamples ALT 2017
Question Asking as Program Generation NIPS 2017
A General Framework for Robust Interactive Learning NIPS 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017
Tutorial: Making Better Use of the Crowd ACL 2017
Detecting annotation noise in automatically labelled data ACL 2017
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback ACL 2017
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection CORL 2017
Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NIPS 2017
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons ICML 2017
Learning with Feature Feedback: from Theory to Practice AISTATS 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017
Learning what to read: Focused machine reading EMNLP 2017
Leveraging Union of Subspace Structure to Improve Constrained Clustering ICML 2017
Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications AISTATS 2017
Active Sentiment Domain Adaptation ACL 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017
Unsupervised Sequential Sensor Acquisition AISTATS 2017
Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017
Mining Object Parts From CNNs via Active Question-Answering CVPR 2017
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation ACL 2017
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017
Multilinear Hyperplane Hashing CVPR 2016