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Ensemble Methods

267 papers

Papers per year

3
9
27
36
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'25

Papers

Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language COLING 2025
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks EMNLP 2025
An Address Intelligence Framework for E-commerce Deliveries EMNLP 2025
Semantic Agreement Enables Efficient Open-Ended LLM Cascades EMNLP 2025
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts EMNLP 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection ICCV 2025
On the Learning with Augmented Class via Forests IJCAI 2025
Bridging Linguistic Complexity: Sentiment Analysis of Tamil Code-Mixed Text Using Meta-Model NAACL 2025
YenLP_CS@DravidianLangTech 2025: Sentiment Analysis on Code-Mixed Tamil-Tulu Data Using Machine Learning and Deep Learning Models NAACL 2025
RATHAN@DravidianLangTech 2025: Annaparavai - Separate the Authentic Human Reviews from AI-generated one NAACL 2025
CUET-NLP_MP@DravidianLangTech 2025: A Transformer and LLM-Based Ensemble Approach for Fake News Detection in Dravidian NAACL 2025
TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules SEMEVAL 2025
tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned Transformers SEMEVAL 2025
PyBhasha at BLP-2025 Task 2: Effectiveness of Semantic-Aware Translation and Ensembling in Bangla Code Generation AACL 2025
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NIPS 2024
Generative Forests NIPS 2024
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling NIPS 2024
DOFEN: Deep Oblivious Forest ENsemble NIPS 2024
The Many Faces of Optimal Weak-to-Strong Learning NIPS 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion NIPS 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction NIPS 2024
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NIPS 2024
How many classifiers do we need? NIPS 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024