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General Classification

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보존된 평가 기록

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코드

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

https://github.com/ssg-research/language-data-augmentation

공식 코드

A little goes a long way: Improving toxic language classification despite data scarcity

https://github.com/sshkhr/BigDataCup18_Submission

공식 코드

Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN

https://github.com/stanford-futuredata/equivariant-transformers

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Equivariant Transformer Networks

https://github.com/stanford-futuredata/sinkhorn-label-allocation

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Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training

https://github.com/stanfordmlgroup/MedSelect

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MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning

https://github.com/stanfordnlp/treelstm

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Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

https://github.com/staretgicclfdark/strategic_rep

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Strategic Classification in the Dark

https://github.com/starfruit007/cipnn

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Continuous Indeterminate Probability Neural Network

https://github.com/stasl0217/UKGE

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Embedding Uncertain Knowledge Graphs

https://github.com/steffi7574/LayerParallelLearning

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Layer-Parallel Training of Deep Residual Neural Networks

https://github.com/stephanieger/sequence-anomaly-detection

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Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification

https://github.com/stergioc/smooth-transformer

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Linear and Deformable Image Registration with 3D Convolutional Neural Networks

https://github.com/strideradu/ProDOMA

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ProDOMA: improve PROtein DOMAin classification for third-generation sequencing reads using deep learning

https://github.com/studio-ousia/textent

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Representation Learning of Entities and Documents from Knowledge Base Descriptions

https://github.com/sud0301/semisup-semseg

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Semi-Supervised Semantic Segmentation with High- and Low-level Consistency

https://github.com/sufianj/fast-camembert

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Fine-tuning BERT-based models for Plant Health Bulletin Classification

https://github.com/suinleelab/cxr_adv

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An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs

https://github.com/sujoyp/wtalc-pytorch

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W-TALC: Weakly-supervised Temporal Activity Localization and Classification

https://github.com/sukrutrao/Fast-Dawid-Skene

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Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification

https://github.com/summar6/ClsGAN

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ClsGAN: Selective Attribute Editing Model Based On Classification Adversarial Network

https://github.com/summer1278/multi-source-attention

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Multi-source Attention for Unsupervised Domain Adaptation

https://github.com/sundw2014/DKS

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Deeply-supervised Knowledge Synergy

https://github.com/svembu/ilearn

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Interactive Learning from Multiple Noisy Labels

https://github.com/sverneka/ConfidentClassifierICLR19

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Analysis of Confident-Classifiers for Out-of-distribution Detection

https://github.com/svishwa/crowdcount-cascaded-mtl

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CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting

https://github.com/swagato-c/bangla-hwcr-present

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Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural Network

https://github.com/swapnasamirshukla/BT5153-Term-Project

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Neural Networks for Fashion Image Classification and Visual Search

https://github.com/swufung/ADMMSoftmax

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ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic Regression

https://github.com/symplecticgeometry/equivariant-neural-networks-and-equivarification

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Equivariant neural networks and equivarification

https://github.com/synapse-developpement/DiscSense

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DiscSense: Automated Semantic Analysis of Discourse Markers

https://github.com/synthetaic/COVID19-IntraModel-Variability

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Intra-model Variability in COVID-19 Classification Using Chest X-ray Images

https://github.com/syshin1014/wssdl_bus

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Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

https://github.com/szq0214/DSOD

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DSOD: Learning Deeply Supervised Object Detectors from Scratch

https://github.com/taddylab/deepir

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Document Classification by Inversion of Distributed Language Representations

https://github.com/tae-jun/resemul

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Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms

https://github.com/tahmid0007/Low_Pass_ReLU

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Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation

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