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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/Jeff-LiangF/streamv2v
공식 코드Looking Backward: Streaming Video-to-Video Translation with Feature Banks
https://github.com/JimLiu96/MITGNN
공식 코드Basket Recommendation with Multi-Intent Translation Graph Neural Network
https://github.com/Jingjing-NLP/VOLT
공식 코드Vocabulary Learning via Optimal Transport for Neural Machine Translation
https://github.com/JoyeBright/ICLviaQE
공식 코드Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation
https://github.com/JunW15/Monolingual-Attack
공식 코드https://github.com/JunW15/NumberTest
공식 코드As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation
https://github.com/JunlinHan/CWR
공식 코드https://github.com/JunlinHan/DCLGAN
공식 코드Dual Contrastive Learning for Unsupervised Image-to-Image Translation
https://github.com/KAIST-VICLab/C-DiffSET
공식 코드https://github.com/KGML-lab/Generalized-Forward-Inverse-Framework-for-DL4SI
공식 코드https://github.com/KU-CVLAB/InstaFormer
공식 코드InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
https://github.com/KU-CVLAB/LANIT
공식 코드LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
https://github.com/KU-CVLAB/MIDMs
공식 코드MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
https://github.com/KaijuML/data-to-text-hierarchical
공식 코드https://github.com/Kaimary/CycleSQL
공식 코드Grounding Natural Language to SQL Translation with Data-Based Self-Explanations
https://github.com/Kaimary/MetaSQL
공식 코드Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation
https://github.com/Kaleidophon/deep-significance
공식 코드https://github.com/Kaminyou/Dense-Normalization
공식 코드https://github.com/KarlXing/LUSR
공식 코드Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
https://github.com/Katsumata420/HITS_Ranking
공식 코드Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models
https://github.com/KentonMurray/ProxGradPytorch
공식 코드https://github.com/KurdishBLARK/InterdialectCorpus
공식 코드Leveraging Multilingual News Websites for Building a Kurdish Parallel Corpus
https://github.com/Kyubyong/quasi-rnn
공식 코드Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German
https://github.com/LARC-CMU-SMU/ACME
공식 코드Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
https://github.com/LCAD-UFES/publications-arruda-ijcnn-2019
공식 코드Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
https://github.com/LS4GAN/uvcgan4slats
공식 코드https://github.com/LZhengisme/CODA
공식 코드https://github.com/Lambda-3/DiscourseSimplification
공식 코드https://github.com/LaraQianYang/Ouroboros
공식 코드Ouroboros: On Accelerating Training of Transformer-Based Language Models
https://github.com/LauraMartinus/ukuxhumana
공식 코드https://github.com/LeeDongYeun/FixNoise
공식 코드Fix the Noise: Disentangling Source Feature for Controllable Domain Translation
https://github.com/LeslieOverfitting/selective_distillation
공식 코드Selective Knowledge Distillation for Neural Machine Translation
https://github.com/LiberAI/NSpM
공식 코드Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition
https://github.com/Lindsay125/gbpe
공식 코드Finding Better Subword Segmentation for Neural Machine Translation
https://github.com/LinesHogan/Token-Efficient-Leverage-Learning
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.