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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zanchangtong/unions
공식 코드Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation
https://github.com/zdh2292390/ParTrans-X
공식 코드Efficient Parallel Translating Embedding For Knowledge Graphs
https://github.com/zdou0830/DAFE
공식 코드Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
https://github.com/zdou0830/DDA
공식 코드Domain Differential Adaptation for Neural Machine Translation
https://github.com/zdou0830/crosslingual_summarization_semantic
공식 코드https://github.com/zdou0830/dynamic_select_weight
공식 코드Dynamic Data Selection and Weighting for Iterative Back-Translation
https://github.com/zeecoder606/PF-Adaptation
공식 코드https://github.com/zeeshannisar/cx_gan
공식 코드https://github.com/zerocstaker/constrained_ape
공식 코드Incorporating Terminology Constraints in Automatic Post-Editing
https://github.com/zhajiahe/Token_Drop
공식 코드https://github.com/zhangmozhi/iternorm
공식 코드https://github.com/zhangqianhui/SGGAN-tensorflow
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangqianhui/Sawn
공식 코드Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization
https://github.com/zhangqianhui/Sparsely-Grouped-GAN
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangr2021/TransProQA
공식 코드https://github.com/zhangr2021/litmt_eval
공식 코드https://github.com/zhangwan-byte/internal_solitary_wave_localization
공식 코드Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization
https://github.com/zhangxiaoyu11/omitrans
공식 코드OmiTrans: generative adversarial networks based omics-to-omics translation framework
https://github.com/zhanjiaao/nat_depa
공식 코드DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware Decoder
https://github.com/zhaofengwu/rfa-doc-mt
공식 코드Modeling Context With Linear Attention for Scalable Document-Level Translation
https://github.com/zhaoyuzhi/childpredictor
공식 코드ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
https://github.com/zhawe01/fairseq-gec
공식 코드https://github.com/zheng0428/coig-kun
공식 코드Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
https://github.com/zhengkid/eit-enhanced-interactive-transformer
공식 코드https://github.com/zhengkid/partialformer
공식 코드PartialFormer: Modeling Part Instead of Whole for Machine Translation
https://github.com/zhengliz/natural-adversary
공식 코드https://github.com/zhengxxn/adaptive-knn-mt
공식 코드https://github.com/zhengxxn/uda-knn
공식 코드Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
https://github.com/zhengzx-nlp/dynamic-nmt
공식 코드https://github.com/zhengzx-nlp/past-and-future-nmt
공식 코드https://github.com/zhengzx-nlp/reder
공식 코드Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
https://github.com/zhenyangiacas/hjqe
공식 코드Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement
https://github.com/zhenyangiacas/wets
공식 코드https://github.com/zhewei-sun/slanginterp
공식 코드https://github.com/zhichen902/detarnet
공식 코드DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.