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Active Learning

1885 directly classified papers

Papers per year

Papers

Active Sequential Learning with Tactile Feedback AISTATS 2010
Negative Results for Active Learning with Convex Losses AISTATS 2010
Boosted Optimization for Network Classification AISTATS 2010
On the Foundations of Noise-free Selective Classification JMLR 2010
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010
Rademacher Complexities and Bounding the Excess Risk in Active Learning JMLR 2010
Active Learning by Querying Informative and Representative Examples NIPS 2010
Extensions of Generalized Binary Search to Group Identification and Exponential Costs NIPS 2010
Near-Optimal Bayesian Active Learning with Noisy Observations NIPS 2010
Trading off Mistakes and Don't-Know Predictions NIPS 2010
Active Estimation of F-Measures NIPS 2010
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NIPS 2010
Supervised Clustering NIPS 2010
Learning to Explore and Exploit in POMDPs NIPS 2009
Adaptive Design Optimization in Experiments with People NIPS 2009
Analysis of Perceptron-Based Active Learning JMLR 2009
DUOL: A Double Updating Approach for Online Learning NIPS 2009
Adaptive Regularization of Weight Vectors NIPS 2009
Submodularity Cuts and Applications NIPS 2009
Sufficient Conditions for Agnostic Active Learnable NIPS 2009
Accelerated Gradient Methods for Stochastic Optimization and Online Learning NIPS 2009
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NIPS 2009
Noisy Generalized Binary Search NIPS 2009
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009
Linear Classification and Selective Sampling Under Low Noise Conditions NIPS 2008