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Classification

15,289 papers

Papers per year

Papers

Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales AAAI 2024
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation AAAI 2024
DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding AAAI 2024
A General Search-Based Framework for Generating Textual Counterfactual Explanations AAAI 2024
Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations AAAI 2024
A Unified Knowledge Transfer Network for Generalized Category Discovery AAAI 2024
Adaptive Graph Learning for Multimodal Conversational Emotion Detection AAAI 2024
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification AAAI 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024
You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification AAAI 2024
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling AAAI 2024
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024
Unit Selection with Nonbinary Treatment and Effect AAAI 2024
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters AAAI 2024
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study AAAI 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
Robustness Verification of Multi-Class Tree Ensembles AAAI 2024
Generative Model for Decision Trees AAAI 2024
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples AAAI 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024
Quantile-Based Maximum Likelihood Training for Outlier Detection AAAI 2024
Toward More Generalized Malicious URL Detection Models AAAI 2024
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024