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Semi-Supervised Text Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HenryPengZou/DeCrisisMB
공식 코드DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
https://github.com/HenryPengZou/JointMatch
공식 코드https://github.com/Westlake-AI/SemiReward
공식 코드SemiReward: A General Reward Model for Semi-supervised Learning
https://github.com/allenai/vampire
공식 코드Variational Pretraining for Semi-supervised Text Classification
https://github.com/amurtadha/rnt
공식 코드Rank-Aware Negative Training for Semi-Supervised Text Classification
https://github.com/amzn/pretraining-or-self-training
공식 코드https://github.com/clovaai/vat-d
공식 코드Consistency Training with Virtual Adversarial Discrete Perturbation
https://github.com/declare-lab/sat
공식 코드SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training
https://github.com/emory-irlab/PHM2017
공식 코드https://github.com/heimingx/pcm
공식 코드Progressive Class Semantic Matching for Semi-supervised Text Classification
https://github.com/izmailovpavel/flowgmm
공식 코드https://github.com/litesslhub/disco
공식 코드DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
https://github.com/p-karisani/self_pretraining
공식 코드https://github.com/sungraepark/AdvDrop-sMNIST
공식 코드https://github.com/sungraepark/adversarial_dropout_text_classification
공식 코드https://github.com/tensorflow/models
공식 코드Adversarial Training Methods for Semi-Supervised Text Classification
https://github.com/usydnlp/me_gcn
공식 코드https://github.com/valuesimplex/flitext
공식 코드FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks
https://github.com/DevSinghSachan/ssl_text_classification
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
https://github.com/GT-SALT/AAAI_CLF
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses
https://github.com/TobiasLee/Text-Classification
Adversarial Training Methods for Semi-Supervised Text Classification
https://github.com/codelion/adaptive-classifier
https://github.com/dreasysnail/deconv_paragraph_represention
https://github.com/dreasysnail/textGAN_public
https://github.com/elijahcn/TextCNN-AdversarialTraining
Adversarial Training Methods for Semi-Supervised Text Classification
https://github.com/nikitajat/Semi-Supervised-Text-Classfication/blob/main/delta_training.ipynb
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
https://github.com/opensum/bigae
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
https://github.com/p-karisani/FirstPHM
https://github.com/sadrasafa/FlowGMM-Julia
https://github.com/smalik169/recursive-convolutional-autoencoder
https://github.com/tensorflow/models/tree/master/research/adversarial_text
Adversarial Training Methods for Semi-Supervised Text Classification
https://github.com/tuvuumass/SCoPE
https://github.com/zhengxiangshi/powerfulpromptft
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.