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Active Learning

1,911 papers

Papers per year

4
20
39
156
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Papers

Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NIPS 2010
Active Learning by Querying Informative and Representative Examples NIPS 2010
Extensions of Generalized Binary Search to Group Identification and Exponential Costs NIPS 2010
Active Estimation of F-Measures NIPS 2010
Active Learning Applied to Patient-Adaptive Heartbeat Classification NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Active Instance Sampling via Matrix Partition NIPS 2010
Boosted Optimization for Network Classification AISTATS 2010
Negative Results for Active Learning with Convex Losses AISTATS 2010
Active Sequential Learning with Tactile Feedback AISTATS 2010
Guarantees for Approximate Incremental SVMs 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
DUOL: A Double Updating Approach for Online Learning NIPS 2009
Noisy Generalized Binary Search NIPS 2009
Adaptive Design Optimization in Experiments with People NIPS 2009
Adaptive Regularization of Weight Vectors NIPS 2009
Submodularity Cuts and Applications NIPS 2009
Sufficient Conditions for Agnostic Active Learnable NIPS 2009
Learning to Explore and Exploit in POMDPs 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
Analysis of Perceptron-Based Active Learning JMLR 2009
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009