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Classification

15,289 papers

Papers per year

Papers

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation AAAI 2024
GLDL: Graph Label Distribution Learning AAAI 2024
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features AAAI 2024
Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024
CoLAL: Co-learning Active Learning for Text Classification AAAI 2024
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering AAAI 2024
Regroup Median Loss for Combating Label Noise AAAI 2024
Twice Class Bias Correction for Imbalanced Semi-supervised Learning AAAI 2024
Deep Active Learning with Noise Stability AAAI 2024
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization AAAI 2024
Mitigating Label Noise through Data Ambiguation AAAI 2024
Hypergraph Neural Architecture Search AAAI 2024
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024
Language-Guided Transformer for Federated Multi-Label Classification AAAI 2024
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification AAAI 2024
Simple Weak Coresets for Non-decomposable Classification Measures AAAI 2024
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent AAAI 2024
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning AAAI 2024
Input Margins Can Predict Generalization Too AAAI 2024
Multi-Class Support Vector Machine with Maximizing Minimum Margin AAAI 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024
Partial Label Learning with a Partner AAAI 2024
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit AAAI 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization AAAI 2024