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binary classification

674 papers

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BCQ

Co-occurring keywords

text classification (6776) support vector machine (976) large language model (12755) ensemble learning (1271) transformer model (1988) transfer learning (5442) natural language processing (2027) multi-label classification (1004) active learning (1295) pre-trained language model (1514)

Papers

Positive-Unlabeled Learning with Non-Negative Risk Estimator NIPS 2017
Learning Similarity Functions for Pronunciation Variations INTERSPEECH 2017
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers AISTATS 2017
Rescale-Invariant SVM for Binary Classification IJCAI 2017
Learning with Average Top-k Loss NIPS 2017
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking CVPR 2016
Yin and Yang: Balancing and Answering Binary Visual Questions CVPR 2016
The Sincerity Sub-Challenge: The Data INTERSPEECH 2016
Neyman-Pearson Classification under High-Dimensional Settings JMLR 2016
Says Who…? Identification of Expert versus Layman Critics’ Reviews of Documentary Films COLING 2016
Enhancement of Automatic Oral Presentation Assessment System Using Latent N-Grams Word Representation and Part-of-Speech Information INTERSPEECH 2016
Boosting with Abstention NIPS 2016
The Deception Sub-Challenge: The Data INTERSPEECH 2016
Pronunciation Error Detection for New Language Learners INTERSPEECH 2016
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Toward Development and Evaluation of Pain Level-Rating Scale for Emergency Triage based on Vocal Characteristics and Facial Expressions INTERSPEECH 2016
Parameter Estimation for Generalized Thurstone Choice Models ICML 2016
Convex Formulation for Learning from Positive and Unlabeled Data ICML 2015
Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged NIPS 2015
Learning a Descriptor-Specific 3D Keypoint Detector ICCV 2015
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2015
Optimally Combining Classifiers Using Unlabeled Data COLT 2015
Surrogate regret bounds for generalized classification performance metrics ACML 2015