https://github.com/PANXiao1994/mCOLT
공식 코드Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Papers with Code 아카이브
Translation
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/PANXiao1994/mRASP2
공식 코드Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
https://github.com/PITI-Synthesis/PITI
공식 코드https://github.com/PKU-TANGENT/SciDTB
공식 코드SciDTB: Discourse Dependency TreeBank for Scientific Abstracts
https://github.com/PKUterran/HamNet
공식 코드HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
https://github.com/PaddlePaddle/ERNIE
공식 코드https://github.com/PaddlePaddle/PaddleNLP
공식 코드ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/simultaneous_translation/stacl
공식 코드https://github.com/PanXiebit/Self-Review-NAT
공식 코드Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism
https://github.com/Paul92/cp_2020
공식 코드https://github.com/PeymanTahghighi/FundusDeepLearning
공식 코드https://github.com/PinjiaHe/StructureInvariantTesting
공식 코드https://github.com/PinzhenChen/sacreCOMET
공식 코드https://github.com/PrekshaNema25/DiverstiyBasedAttentionMechanism
공식 코드Diversity driven Attention Model for Query-based Abstractive Summarization
https://github.com/QingXin96/Intrinsic_image_transfer
공식 코드https://github.com/QipengGuo/CycleGT
공식 코드CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
https://github.com/QiufanLin/ImageTranslation
공식 코드Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
https://github.com/RISElabQueens/InterTrans
공식 코드InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation
https://github.com/RahulSajnani/DRACO-Weakly-Supervised-Dense-Reconstruction-And-Canonicalization-of-Objects
공식 코드DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects
https://github.com/RamyaKeerthy/Translation-NL2FOL
공식 코드https://github.com/RaoUmer/SRResCycGAN
공식 코드Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
https://github.com/RayeRen/multilingual-kd-pytorch
공식 코드Multilingual Neural Machine Translation with Knowledge Distillation
https://github.com/RemiLeblond/SeaRNN-open
공식 코드https://github.com/ReneeYe/XSTNet
공식 코드End-to-end Speech Translation via Cross-modal Progressive Training
https://github.com/RikVN/AMR
공식 코드https://github.com/RishiHazra/Actively-reducing-redundancies-in-Active-Learning-for-Sequence-Tagging
공식 코드https://github.com/Roxot/AEVNMT
공식 코드https://github.com/Rudrabha/LipGAN
공식 코드https://github.com/RussellSB/tt-vae-gan
공식 코드Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks
https://github.com/Ryou0634/placeholder_translation
공식 코드https://github.com/SAP/software-documentation-data-set-for-machine-translation
공식 코드A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation
https://github.com/SDret/Pytorch-implementation-for-Rethinking-Reconstruction-Autoencoder-Based-Out-of-Distribution-Detection
공식 코드Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection
https://github.com/SJLeo/DMAD
공식 코드Learning Efficient GANs for Image Translation via Differentiable Masks and co-Attention Distillation
https://github.com/SPICExLAB/MobilePoser
공식 코드https://github.com/STASYA00/UrbanGen
공식 코드https://github.com/STASYA00/urban_datasets
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.