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Ensemble Learning

223 papers

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Papers

Medusa: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions Interspeech 2025 Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch CVPR 2025 MOVER: Combining Multiple Meeting Recognition Systems Interspeech 2025 NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion Detection SemEval 2025 NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models COLING 2025 PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection SemEval 2025 QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods SemEval 2025 SkillAggregation: Reference-free LLM-Dependent Aggregation ACL 2025 Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning CVPR 2025 UB_Tel-U at SemEval-2025 Task 11: Emotions Without Borders - A Unified Framework for Multilingual Classification Using Augmentation and Ensemble SemEval 2025 University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection SemEval 2025 wangkongqiang at SemEval-2025 Task 11:Bridging the Gap in Text-Based Emotion Detection SemEval 2025 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Cross-lingual Emotion Detection through Large Language Models ACL 2024 DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion ACL 2024 Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble ACL 2024 Multimodal Ensembling for Zero-Shot Image Classification AAAI 2024 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ICLR 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NeurIPS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024 Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems EMNLP 2024 Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models UAI 2024 Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024 United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit AAAI 2024