multi-class classification

Improved Sample Complexity for Multiclass PAC Learning NeurIPS 2024 KEC-AI-NLP@LT-EDI-2024:Homophobia and Transphobia Detection in Social Media Comments using Machine Learning EACL 2024 Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision AAAI 2024 MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection NeurIPS 2024 Margin-Based Active Learning of Classifiers JMLR 2024 Multiclass Learnability Does Not Imply Sample Compression ALT 2024 Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures AISTATS 2024 Multiclass Online Learnability under Bandit Feedback ALT 2024 Multi-Class Support Vector Machine with Maximizing Minimum Margin AAAI 2024 Multiclass Transductive Online Learning NeurIPS 2024 Neural collapse vs. low-rank bias: Is deep neural collapse really optimal? NeurIPS 2024 On Computationally Efficient Multi-Class Calibration COLT 2024 Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024 Open Problem: Can Local Regularization Learn All Multiclass Problems? COLT 2024 Optimal Multiclass U-Calibration Error and Beyond NeurIPS 2024 Overview of the DagPap24 Shared Task on Detecting Automatically Generated Scientific Paper ACL 2024 Predicting Acute Pain Levels Implicitly from Vocal Features Interspeech 2024 Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms ALT 2024 Rating-Based Reinforcement Learning AAAI 2024 Regimes of No Gain in Multi-class Active Learning JMLR 2024 Robustness Verification of Multi-Class Tree Ensembles AAAI 2024 Shared Task for Cross-lingual Classification of Corporate Social Responsibility (CSR) Themes and Topics COLING 2024 TAAL: Target-Aware Active Learning COLING 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention AISTATS 2024