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Active Learning

1885 directly classified papers

Papers per year

Papers

A Practical Incremental Learning Framework For Sparse Entity Extraction COLING 2018
Query Complexity of Bayesian Private Learning NIPS 2018
Distributed Multi-Player Bandits - a Game of Thrones Approach NIPS 2018
Efficient Diverse Ensemble for Discriminative Co-Tracking CVPR 2018
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation CVPR 2018
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018
Interactive Algorithms: Pool, Stream and Precognitive Stream JMLR 2018
Towards Black-box Iterative Machine Teaching ICML 2018
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018
Selecting Representative Examples for Program Synthesis ICML 2018
Experimental Design under the Bradley-Terry Model IJCAI 2018
Reinforced Co-Training NAACL 2018
Active Matting NIPS 2018
Adaptive Learning with Unknown Information Flows NIPS 2018
A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018
On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018
Active Discriminative Network Representation Learning IJCAI 2018
Hierarchical Active Learning with Group Proportion Feedback IJCAI 2018
Interactive Optimal Teaching with Unknown Learners IJCAI 2018
Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018
Robust Active Label Correction AISTATS 2018
Differentiable Submodular Maximization IJCAI 2018
Efficiently Sampling from Underlying Models RSS 2018
Safe Active Learning for Time-Series Modeling with Gaussian Processes NIPS 2018