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General Classification

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평가표

11

보존된 평가 기록

19

코드

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

https://github.com/wuyun8210/partdetection

공식 코드

Fine-grained visual recognition with salient feature detection

https://github.com/wuzhen247/HUAPA

공식 코드

Improving Review Representations with User Attention and Product Attention for Sentiment Classification

https://github.com/wvangansbeke/Unsupervised-Classification

공식 코드

SCAN: Learning to Classify Images without Labels

https://github.com/wwoods/adversarial-explanations-cifar

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Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness

https://github.com/wxjiao/Pre-CODE

공식 코드

Exploiting Unsupervised Data for Emotion Recognition in Conversations

https://github.com/wy1iu/LargeMargin_Softmax_Loss

공식 코드

Large-Margin Softmax Loss for Convolutional Neural Networks

https://github.com/wyf0912/LDDG

공식 코드

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization

https://github.com/wyharveychen/CloserLookFewShot

공식 코드

A Closer Look at Few-shot Classification

https://github.com/wzn0828/PR_Product

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PR Product: A Substitute for Inner Product in Neural Networks

https://github.com/xaiseries/xcm

공식 코드

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

https://github.com/xaiseries/xem

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XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification

https://github.com/xdeng7/scale-aware_da

공식 코드

Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery

https://github.com/xhl-video/SmallBigNet

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SmallBigNet: Integrating Core and Contextual Views for Video Classification

https://github.com/xiajing10/akec

공식 코드

Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications

https://github.com/xiangly55/LFME

공식 코드

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

https://github.com/xiangyongcao/CNN_HSIC_MRF

공식 코드

Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network

https://github.com/xiangzhang1015/Adversarial-Variational-Semi-supervised-Learning

공식 코드

Adversarial Variational Embedding for Robust Semi-supervised Learning

https://github.com/xianyongqin/few-shot-video-classification

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Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation

https://github.com/xiaolin1207/HTTN-master

공식 코드

Does Head Label Help for Long-Tailed Multi-Label Text Classification

https://github.com/xiaomengyc/SPG

공식 코드

Self-produced Guidance for Weakly-supervised Object Localization

https://github.com/xiaoqian19940510/text-classification-surveys

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A Survey on Text Classification: From Shallow to Deep Learning

https://github.com/xiaozhanguva/Cost-Sensitive-Robustness

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Cost-Sensitive Robustness against Adversarial Examples

https://github.com/xienliu/tensor-gcn-text-classification-tensorflow

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Tensor Graph Convolutional Networks for Text Classification

https://github.com/xinzheli1217/learning-to-self-train

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Learning to Self-Train for Semi-Supervised Few-Shot Classification

https://github.com/xliuhw/NLU-Evaluation-Data

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Benchmarking Natural Language Understanding Services for building Conversational Agents

https://github.com/xmc-aalto/bonsai

공식 코드

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

https://github.com/xmc-aalto/proxml

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Adversarial Extreme Multi-label Classification

https://github.com/xrc10/cross-distill

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Cross-lingual Distillation for Text Classification

https://github.com/xtarx/StainGAN

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StainGAN: Stain Style Transfer for Digital Histological Images

https://github.com/xternalz/AE-WTN

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Scaling Object Detection by Transferring Classification Weights

https://github.com/xternalz/DelugeNets

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DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows

https://github.com/xtinkt/editable

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Editable Neural Networks

https://github.com/xu-ji/IIC

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Invariant Information Clustering for Unsupervised Image Classification and Segmentation

https://github.com/xuczhang/UncertainDC

공식 코드

Mitigating Uncertainty in Document Classification

https://github.com/xuwangyin/GAT-Generative-Adversarial-Training

공식 코드

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

https://github.com/xuyige/BERT4doc-Classification

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How to Fine-Tune BERT for Text Classification?

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