Data Augmentation

Transformation Pursuit for Image Classification CVPR 2014 Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem COLT 2013 A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting ICCV 2013 A Non-parametric Framework for Document Bleed-through Removal CVPR 2013 Distributed k-means and k-median Clustering on General Topologies NeurIPS 2013 Feature Multi-Selection among Subjective Features ICML 2013 Fine-Grained Crowdsourcing for Fine-Grained Recognition CVPR 2013 Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013 Studying Relationships between Human Gaze, Description, and Computer Vision CVPR 2013 Training Energy-Based Models for Time-Series Imputation JMLR 2013 Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots CVPR 2013 A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012 On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012 A Collaborative Mechanism for Crowdsourcing Prediction Problems NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording NeurIPS 2009 Ranking Categorical Features Using Generalization Properties JMLR 2008 Regularized Learning with Networks of Features NeurIPS 2008 Spam Filtering Using Statistical Data Compression Models JMLR 2006 Shallow Parsing using Specialized HMMs JMLR 2002 Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002