cost-sensitive learning

Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019 Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019 Interpretable Cascade Classifiers with Abstention AISTATS 2019 Learning With Unsure Data for Medical Image Diagnosis ICCV 2019 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams ICLR 2019 Adaptive Scaling for Sparse Detection in Information Extraction ACL 2018 A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios IJCAI 2018 Cost-Sensitive Learning with Noisy Labels JMLR 2018 Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation CVPR 2018 Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection NAACL 2018 Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding NeurIPS 2018 Learning with Complex Loss Functions and Constraints AISTATS 2018 Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation IJCAI 2018 Cost-Effective Active Learning from Diverse Labelers IJCAI 2017 Cost efficient gradient boosting NeurIPS 2017 Loss Max-Pooling for Semantic Image Segmentation CVPR 2017 A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016 Cost Sensitive Online Multiple Kernel Classification ACML 2016 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Feature-Budgeted Random Forest ICML 2015 Robust Cost Sensitive Support Vector Machine AISTATS 2015 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014 Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost ICML 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014