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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/SagiLevanon1/scmp

공식 코드

Strategic Classification Made Practical

https://github.com/SamirRCHI/Viral_Load_Data_Categorization

공식 코드

Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method

https://github.com/SanyeungWang/PML

공식 코드

PML: Progressive Margin Loss for Long-tailed Age Classification

https://github.com/SarielMa/ICLR2020_AI4AH

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Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective

https://github.com/SarielMa/ICMLA2020_12-lead-ECG

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Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length

https://github.com/SarielMa/Increasing-Margin-Adversarial-Training

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Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks

https://github.com/SchafferZhang/DADA

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DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification

https://github.com/SciemusGithub/FBL

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Fuzzy Bayesian Learning

https://github.com/SenticNet/conv-emotion

공식 코드

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

https://github.com/Sha-Lab/FEAT

공식 코드

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

https://github.com/ShaneShen/ENL-FCN

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Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification

https://github.com/ShannonAI/Neural-Semi-Supervised-Learning-for-Text-Classification

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Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining

https://github.com/ShannonAI/glyce

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Glyce: Glyph-vectors for Chinese Character Representations

https://github.com/Shashankaubaru/He-NMFGT

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Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping

https://github.com/Shawn-Shan/trapdoor

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Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

https://github.com/ShayanPersonal/checkered-cnn

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Improving the Resolution of CNN Feature Maps Efficiently with Multisampling

https://github.com/ShengkaiWu/IoU-aware-single-stage-object-detector

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IoU-aware Single-stage Object Detector for Accurate Localization

https://github.com/ShiQiu0419/DRNet

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Dense-Resolution Network for Point Cloud Classification and Segmentation

https://github.com/ShiQiu0419/GBNet

공식 코드

Geometric Back-projection Network for Point Cloud Classification

https://github.com/Shounak-D/LexiBoost

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Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning

https://github.com/SiddhanthHegde/You-Need-to-Pay-More-Attention

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UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention

https://github.com/SkBlaz/DNR

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Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification

https://github.com/SkBlaz/tax2vec

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tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification

https://github.com/SleepyBag/DAML

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Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning

https://github.com/SmartEngines/bipolar-morphological-resnet

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ResNet-like Architecture with Low Hardware Requirements

https://github.com/SongBaiHust/Adversarial_Metric_Attack

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Adversarial Metric Attack and Defense for Person Re-identification

https://github.com/Sparkier/Classifier-Guided-Correction

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Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks

https://github.com/StanfordASL/rover-meta-learning

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Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics

https://github.com/StefanSchwarzTUW/MultiStage-Grassmannian-DNN

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Recursive CSI Quantization of Time-Correlated MIMO Channels by Deep Learning Classification

https://github.com/Sufianlab/BDNet

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BDNet: Bengali Handwritten Numeral Digit Recognition based on Densely connected Convolutional Neural Networks

https://github.com/SunJiamei/few-shot-lrp-guided

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Explanation-Guided Training for Cross-Domain Few-Shot Classification

https://github.com/Surayez/EmotivDriverDistraction

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Classification of multivariate weakly-labelled time-series with attention

https://github.com/SwinTransformer/Video-Swin-Transformer

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Video Swin Transformer

https://github.com/TAMU-VITA/Focus-Longer-to-See-Better

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Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

https://github.com/THEEJUNG/PosCal

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Posterior Calibrated Training on Sentence Classification Tasks

https://github.com/THUDM/GCC

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GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

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