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Active Learning

1,911 papers

Papers per year

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20
39
156
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Papers

Interactive Optimal Teaching with Unknown Learners IJCAI 2018
Differentiable Submodular Maximization IJCAI 2018
New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018
Cost-Effective Active Learning for Hierarchical Multi-Label Classification IJCAI 2018
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels IJCAI 2018
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings IJCAI 2018
Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018
Active Recurrence of Lighting Condition for Fine-Grained Change Detection IJCAI 2018
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation IJCAI 2018
Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language INTERSPEECH 2018
On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data INTERSPEECH 2018
Active Learning for LF-MMI Trained Neural Networks in ASR INTERSPEECH 2018
Annotator Trustability-based Cooperative Learning Solutions for Intelligent Audio Analysis INTERSPEECH 2018
Active Nearest-Neighbor Learning in Metric Spaces JMLR 2018
Interactive Algorithms: Pool, Stream and Precognitive Stream JMLR 2018
Importance Sampling for Minibatches JMLR 2018
Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis MLHC 2018
Reinforced Co-Training NAACL 2018
Data-Driven Measurement Models for Active Localization in Sparse Environments RSS 2018
Bayesian Tactile Exploration for Compliant Docking With Uncertain Shapes RSS 2018
Efficiently Sampling from Underlying Models RSS 2018
Online multiclass boosting NIPS 2017
Question Asking as Program Generation NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing NIPS 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017