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General Classification

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평가표

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보존된 평가 기록

19

코드

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

https://github.com/dallascard/DWAC

공식 코드

Deep Weighted Averaging Classifiers

https://github.com/danfenghong/IEEE_TGRS_GCN

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Graph Convolutional Networks for Hyperspectral Image Classification

https://github.com/danfenghong/IEEE_TGRS_MDL-RS

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More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

https://github.com/danielecastellana22/tensor-tree-nn

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Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data

https://github.com/danielegrattarola/spektral

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Graph Neural Networks in TensorFlow and Keras with Spektral

https://github.com/danielzuegner/gnn-meta-attack

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Adversarial Attacks on Graph Neural Networks via Meta Learning

https://github.com/daniilidis-group/spherical-cnn

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Learning SO(3) Equivariant Representations with Spherical CNNs

https://github.com/daniilidis-group/swscnn

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Learning Equivariant Representations

https://github.com/danish-stance-detectors/RumourResolution

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Danish Stance Classification and Rumour Resolution

https://github.com/danobohud/TransferLearningforPSC

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Transfer Learning for Protein Structure Classification at Low Resolution

https://github.com/darrenyatesau/DataLearner

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DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets

https://github.com/datang1992/VPNG

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The Variational Predictive Natural Gradient

https://github.com/dathong/ProtoryNet

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ProtoryNet - Interpretable Text Classification Via Prototype Trajectories

https://github.com/datquocnguyen/RDRsegmenter

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A Fast and Accurate Vietnamese Word Segmenter

https://github.com/datquocnguyen/jointRE

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End-to-end neural relation extraction using deep biaffine attention

https://github.com/david-cortes/contextualbandits

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Adapting multi-armed bandits policies to contextual bandits scenarios

https://github.com/david-dunson/SPAclassifier

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Classification via local manifold approximation

https://github.com/davidatbu/openFraming

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OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames

https://github.com/davidath/ncsr-atmo-learn

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Autoencoder-Driven Weather Clustering for Source Estimation during Nuclear Events

https://github.com/dawenzi123/DAGCN

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DAGCN: Dual Attention Graph Convolutional Networks

https://github.com/dbouchabou/Fully-Convolutional-Network-Smart-Homes

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Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes

https://github.com/dcodecasa/CTBNCToolkit

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CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit

https://github.com/deel-ai/deel-lip

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Achieving robustness in classification using optimal transport with hinge regularization

https://github.com/deep-unlearn/Big_Data_From_Space_2017

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Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data

https://github.com/deep-unlearn/ISPRS-Classification-With-an-Edge

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Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection

https://github.com/deepBrains/TSception

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TSception: A Deep Learning Framework for Emotion Detection Using EEG

https://github.com/deepmind/lab

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Learning to Navigate in Complex Environments

https://github.com/deepmind/wasserstein_fairness

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Wasserstein Fair Classification

https://github.com/deepopinion/domain-adapted-atsc

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Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification

https://github.com/deepskies/deepmerge-public

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DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks

https://github.com/deepsphere/deepsphere-cosmo-tf1

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DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

https://github.com/delta2323/gnn-asymptotics

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Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

https://github.com/demolakstate/eGAN_addressing_class_imbalance_with_transfer_learning_on_GAN

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eGAN: Unsupervised approach to class imbalance using transfer learning

https://github.com/deqangss/aics2019_challenge_adv_mal_defense

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A Framework for Enhancing Deep Neural Networks Against Adversarial Malware

https://github.com/derEitel/explainableMS

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Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

https://github.com/derekhoward/Reachout_triage

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Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study

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