Classification

Conformal Prediction with Learned Features ICML 2024 ConfTrack: Kalman Filter-Based Multi-Person Tracking by Utilizing Confidence Score of Detection Box WACV 2024 ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs NeurIPS 2024 Connected Speech-Based Cognitive Assessment in Chinese and English Interspeech 2024 Consistent Adversarially Robust Linear Classification: Non-Parametric Setting ICML 2024 Consistent algorithms for multi-label classification with macro-at-k metrics ICLR 2024 Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024 Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024 Consistent Multi-Class Classification from Multiple Unlabeled Datasets ICLR 2024 Constrained Binary Decision Making NeurIPS 2024 Content Moderation in Online Platforms: A Study of Annotation Methods for Inappropriate Language COLING 2024 ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in Conversations ACL 2024 Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning CVPR 2024 Context-Specific Refinements of Bayesian Network Classifiers PGM 2024 Contextual Active Model Selection NeurIPS 2024 Contextual Modeling for Document-level ASR Error Correction COLING 2024 Contextual Multinomial Logit Bandits with General Value Functions NeurIPS 2024 Continual Segmentation with Disentangled Objectness Learning and Class Recognition CVPR 2024 CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules EMNLP 2024 Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking CVPR 2024 Controller-Guided Partial Label Consistency Regularization with Unlabeled Data AAAI 2024 Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets NeurIPS 2024 Control with Patterns: A D-learning Method CoRL 2024 CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning COLING 2024 Corpus Considerations for Annotator Modeling and Scaling NAACL 2024