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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mikirui/ADSPM
공식 코드Attribute-Driven Spontaneous Motion in Unpaired Image Translation
https://github.com/milanlproc/interpretability-mt-gender-bias
공식 코드https://github.com/milanlproc/language-invariant-properties
공식 코드Language Invariant Properties in Natural Language Processing
https://github.com/mindspore-lab/models
공식 코드Efficient Machine Translation with a BiLSTM-Attention Approach
https://github.com/minfawang/mask-cgan
공식 코드Mask CycleGAN: Unpaired Multi-modal Domain Translation with Interpretable Latent Variable
https://github.com/mingdachen/mVGVAE
공식 코드Exemplar-Controllable Paraphrasing and Translation using Bitext
https://github.com/minghao-wu/transagents
공식 코드https://github.com/mingjund/mapudungun-corpus
공식 코드https://github.com/mingyuliutw/UNIT
공식 코드https://github.com/mingzi151/ahc-si
공식 코드NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpus
https://github.com/mingzi151/interpretationdata
공식 코드It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
https://github.com/mingzi151/spokenvocab
공식 코드Generating Synthetic Speech from SpokenVocab for Speech Translation
https://github.com/mingzi151/w2v2-st
공식 코드M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation
https://github.com/minivision-ai/photo2cartoon
공식 코드Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
https://github.com/minwhoo/gacl
공식 코드https://github.com/minyoungg/pix2latent
공식 코드Transforming and Projecting Images into Class-conditional Generative Networks
https://github.com/mipunivie/deeperwin
공식 코드https://github.com/mir-mu/regemt
공식 코드Regressive Ensemble for Machine Translation Quality Evaluation
https://github.com/mir-mu/softalign_objectives
공식 코드Soft Alignment Objectives for Robust Adaptation of Language Generation
https://github.com/misaliet/seamless-satellite-image-synthesis
공식 코드https://github.com/mit-futuretech/thecomputationallimitsofdeeplearning
공식 코드https://github.com/mit-han-lab/hardware-aware-transformers
공식 코드HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
https://github.com/mit-han-lab/lite-transformer
공식 코드https://github.com/mitramir55/prose2poem
공식 코드Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetry
https://github.com/mjlaali/ConcoLeDisCo
공식 코드Automatic Mapping of French Discourse Connectives to PDTB Discourse Relations
https://github.com/mjlaali/Europarl-ConcoDisco
공식 코드Improving Discourse Relation Projection to Build Discourse Annotated Corpora
https://github.com/mkmenta/domain_adapt_segm
공식 코드Learning to adapt class-specific features across domains for semantic segmentation
https://github.com/ml-jku/hopfield-layers
공식 코드https://github.com/ml4gw/summer-projects-2023
공식 코드Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings
https://github.com/mlandcv/Auxilliary_Reconstruction_GAN
공식 코드Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
https://github.com/mmarmonier/SWELLS
공식 코드https://github.com/mnamysl/nat-acl2021
공식 코드Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
https://github.com/mohaEs/image-to-images-translation
공식 코드https://github.com/moienr/temporalgan
공식 코드TSGAN: An Optical-to-SAR Dual Conditional GAN for Optical based SAR Temporal Shifting
https://github.com/moore3930/calibrating-llm-mt
공식 코드Calibrating Translation Decoding with Quality Estimation on LLMs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.