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Active Learning

1885 directly classified papers

Papers per year

Papers

Multi-Bandit Best Arm Identification NIPS 2011
Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning JMLR 2011
Models of Cooperative Teaching and Learning JMLR 2011
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011
Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach AISTATS 2011
Multi-label Active Learning with Auxiliary Learner ACML 2011
Efficient Learning with Partially Observed Attributes JMLR 2011
Finite Time Analysis of Stratified Sampling for Monte Carlo NIPS 2011
Online Submodular Set Cover, Ranking, and Repeated Active Learning NIPS 2011
Active Classification based on Value of Classifier NIPS 2011
Online Learning: Stochastic, Constrained, and Smoothed Adversaries NIPS 2011
Active Ranking using Pairwise Comparisons NIPS 2011
Multi-armed bandits on implicit metric spaces NIPS 2011
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NIPS 2011
Iterative Learning for Reliable Crowdsourcing Systems NIPS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
Lower Bounds for Passive and Active Learning NIPS 2011
Budgeted Optimization with Concurrent Stochastic-Duration Experiments NIPS 2011
Multi-View Active Learning in the Non-Realizable Case NIPS 2010
Agnostic Active Learning Without Constraints 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
Gaussian Process Preference Elicitation NIPS 2010
Guarantees for Approximate Incremental SVMs AISTATS 2010