SOTAVerified

Ensemble Learning

Papers

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Showing 101–125 of 1207 papers

TitleStatusHype
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well—0
The cost of ensembling: is it always worth combining?—0
Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning—0
Ensemble-MIX: Enhancing Sample Efficiency in Multi-Agent RL Using Ensemble Methods—0
A SHAP-based explainable multi-level stacking ensemble learning method for predicting the length of stay in acute stroke—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech—0
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures—0
LengthLogD: A Length-Stratified Ensemble Framework for Enhanced Peptide Lipophilicity Prediction via Multi-Scale Feature Integration—0
iBitter-Stack: A Multi-Representation Ensemble Learning Model for Accurate Bitter Peptide IdentificationCode0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
Bayesian Ensembling: Insights from Online Optimization and Empirical BayesCode0
High-Dimensional Analysis of Bootstrap Ensemble Classifiers—0
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures—0
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer—0
EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-TuningCode0
EnsembleCI: Ensemble Learning for Carbon Intensity ForecastingCode0
A Self-Supervised Transformer for Unusable Shared Bike Detection—0
An introduction to R package `mvs`—0
An island-parallel ensemble metaheuristic algorithm for large graph coloring problems—0
Enhancing Cocoa Pod Disease Classification via Transfer Learning and Ensemble Methods: Toward Robust Predictive Modeling—0
Mamba-Based Ensemble learning for White Blood Cell ClassificationCode0
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning—0
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs—0
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DCFAccuracy0.98—Unverified