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Classification

1251 directly classified papers

Papers per year

Papers

Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NIPS 2020
The Power of Comparisons for Actively Learning Linear Classifiers NIPS 2020
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NIPS 2020
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity NIPS 2020
Exemplar Guided Active Learning NIPS 2020
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift NIPS 2020
SnapBoost: A Heterogeneous Boosting Machine NIPS 2020
Detecting and Analysing Spontaneous Oral Cancer Speech in the Wild INTERSPEECH 2020
Background Data Resampling for Outlier-Aware Classification CVPR 2020
Multiple Admissibility: Judging Grammaticality using Unlabeled Data in Language Learning ACL 2019
Active Learning for Cost-Sensitive Classification JMLR 2019
ORCA: A Matlab/Octave Toolbox for Ordinal Regression JMLR 2019
Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions JMLR 2019
Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning AAAI 2019
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection AAAI 2019
Learning and the Unknown: Surveying Steps toward Open World Recognition AAAI 2019
A Whole New Ball Game: Harvesting Game Data for Player Profiling AAAI 2019
Binary Classifier Inspired by Quantum Theory AAAI 2019
Hyperspherical Prototype Networks NIPS 2019
Multiclass Performance Metric Elicitation NIPS 2019
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response NIPS 2019
Generative Well-intentioned Networks NIPS 2019
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation NIPS 2019
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification NIPS 2019