Classification

ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations AAAI 2024 Ethnolinguistic Identification of Vietnamese-German Heritage Speech Interspeech 2024 EU DisinfoTest: a Benchmark for Evaluating Language Models’ Ability to Detect Disinformation Narratives EMNLP 2024 EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques SemEval 2024 Evaluating Shortest Edit Script Methods for Contextual Lemmatization COLING 2024 Evaluating the Robustness of Adverse Drug Event Classification Models using Templates ACL 2024 EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery IJCAI 2024 Examining Temporalities on Stance Detection towards COVID-19 Vaccination COLING 2024 Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets COLING 2024 Examining Vocal Tract Coordination in Childhood Apraxia of Speech with Acoustic-to-Articulatory Speech Inversion Feature Sets Interspeech 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X ICLR 2024 Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024 Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NeurIPS 2024 Explainable AI in Language Learning: Linking Empirical Evidence and Theoretical Concepts in Proficiency and Readability Modeling of Portuguese NAACL 2024 Explainable Identification of Hate Speech towards Islam using Graph Neural Networks EMNLP 2024 Explaining Datasets in Words: Statistical Models with Natural Language Parameters NeurIPS 2024 Explaining the Hardest Errors of Contextual Embedding Based Classifiers CoNLL 2024 Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts ECCV 2024 Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis EMNLP 2024 Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning IJCAI 2024 Exploiting Dialogue Acts and Context to Identify Argumentative Relations in Online Debates ACL 2024 Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024 Exploiting Human-AI Dependence for Learning to Defer ICML 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 Exploiting Multi-Label Correlation in Label Distribution Learning IJCAI 2024