Application Areas

PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Proximal Methods for Hierarchical Sparse Coding JMLR 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 Sample Complexity Bounds for Differentially Private Learning COLT 2011 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011 Spectral Clustering on a Budget AISTATS 2011 Submodular Multi-Label Learning NeurIPS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 A Dirty Model for Multi-task Learning NeurIPS 2010 A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010 A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010 Boosting Classifier Cascades NeurIPS 2010 Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NeurIPS 2010 Collaborative Filtering on a Budget AISTATS 2010 Color-Accurate Underwater Imaging using Perceptual Adaptive Illumination RSS 2010 Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Detecting Weak but Hierarchically-Structured Patterns in Networks AISTATS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Exclusive Lasso for Multi-task Feature Selection AISTATS 2010