Papers
Active Learning from Weak and Strong Labelers. Chichen Zhang, Kamalika Chaudhuri.
Active Search on Graphs using Sigma-Optimality. Yifei Ma, Tzu-Kuo Huang, Jeff Schneider.
Addressing Covariate Shift in Active Learning with Adversarial Prediction. Anqi Liu, Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart, Lev Reyzin.
Agreement-based Dynamic Active Learning with Least and Medium Certainty Query Strategies. Yue Zhang, Eduardo Coutinho, Zixing Zhang, Caijiao Quan, Björn Schuller.
ALEVS: Active Learning by Statistical Leverage Sampling. Cem Orhan, Oznur Tastan.
Bayesian Active Transfer Learning in Smart Homes. Tom Diethe, Niall Twomey, Peter Flach.
Concept for a Compound Analysis in Active Learning for Remote Sensing. Sebastian Wuttke, Wolfgang Middelmann, Uwe Stilla.
Efficient and Parsimonious Agnostic Active Learning. Tzu-Kuo Huang, Alekh Agarwal, Daniel Hsu, John Langford, Robert E. Schapire.
Interactive Semantics of Knowledge Transfer. Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis.
Reactive Learning: Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones. Christopher H. Lin, Mausam, Daniel S. Weld.
Unsupervised Active Learning for Video Annotation. Emre Demir, Zehra Cataltepe, Umit Ekmekci, Mateusz Budnik, Laurent Besacier.