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Ensemble Learning

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lars-research/relens

공식 코드

Relation-aware Ensemble Learning for Knowledge Graph Embedding

https://github.com/leonericsson/ensemble4dflownet

공식 코드

Generalized super-resolution 4D Flow MRI $\unicode{x2013}$ using ensemble learning to extend across the cardiovascular system

https://github.com/levigty/acl

공식 코드

Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition

https://github.com/lewisclifton/mamba-wbc-classification

공식 코드

Mamba-Based Ensemble learning for White Blood Cell Classification

https://github.com/lezhangleonard/E-QUARTIC

공식 코드

E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning

https://github.com/li-haoqing/ilnet

공식 코드

ILNet: Low-level Matters for Salient Infrared Small Target Detection

https://github.com/liuh127/Two-branch-dehazing

공식 코드

A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning

https://github.com/liuzy0708/Awesome_OL

공식 코드

Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment

https://github.com/lofrienger/s2me

공식 코드

S$^2$ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

https://github.com/lucasfriedrich97/qnnensemble

공식 코드

Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration

https://github.com/lucykuncheva/semi-supervised-and-constrained-clustering

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A Bibliographic View on Constrained Clustering

https://github.com/lxz1217/weather4cast-2023-lxz

공식 코드

Precipitation Prediction Using an Ensemble of Lightweight Learners

https://github.com/m0hammad-kashif/multimodalhatespeech

공식 코드

Lexical Squad@Multimodal Hate Speech Event Detection 2023: Multimodal Hate Speech Detection using Fused Ensemble Approach

https://github.com/man-shu/ensemble-fmri

공식 코드

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding

https://github.com/martinser/awesome-historical-learning

공식 코드

A Survey of Historical Learning: Learning Models with Learning History

https://github.com/masterbaer/neuron-transplantation

공식 코드

Model Fusion via Neuron Transplantation

https://github.com/mathias-bellat/ml_archaeology_review

공식 코드

Machine learning applications in archaeological practices: a review

https://github.com/mazumder-lab/skinnytrees

공식 코드

End-to-end Feature Selection Approach for Learning Skinny Trees

https://github.com/menouarazib/eventdetector

공식 코드

A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP

https://github.com/menouarazib/informationretrievalinnlp

공식 코드

A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP

https://github.com/meteozay/fsg

공식 코드

A New Fuzzy Stacked Generalization Technique and Analysis of its Performance

https://github.com/mickeyhqian/voteensemble

공식 코드

Subsampled Ensemble Can Improve Generalization Tail Exponentially

https://github.com/microsoft/orchestrated-value-mapping

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Orchestrated Value Mapping for Reinforcement Learning

https://github.com/miladvazan/Joint_Learning_Classification_Persian_Reviews-

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A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews

https://github.com/miladvazan/convolutional-neural-networks-based-multi-task-ensemble-model

공식 코드

A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews

https://github.com/mk2299/Ensemble3DCNN_connectomes

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Ensemble learning with 3D convolutional neural networks for connectome-based prediction

https://github.com/mkruuse/segmenting-turbulent-simulations-with-ensemble-learning

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Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning

https://github.com/mohammed-elkomy/quran-qa

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TCE at Qur'an QA 2022: Arabic Language Question Answering Over Holy Qur'an Using a Post-Processed Ensemble of BERT-based Models

https://github.com/moporgic/tdl2048

공식 코드

On Reinforcement Learning for the Game of 2048

https://github.com/moucheng2017/action-labelling

공식 코드

In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understanding

https://github.com/mueedhafiz1982/CNNTreeEnsemble

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Deep Network Ensemble Learning applied to Image Classification using CNN Trees

https://github.com/murphyka/representation-space-info-comparison

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Comparing the information content of probabilistic representation spaces

https://github.com/namisan/mt-dnn

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Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

https://github.com/natydasilva/PPforest

공식 코드

A Projection Pursuit Forest Algorithm for Supervised Classification

https://github.com/neelkanwal/equipping-computational-pathology-systems-with-artifact-processing-pipeline

공식 코드

Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs

https://github.com/newaz-aa/ibrf

공식 코드

iBRF: Improved Balanced Random Forest Classifier

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.