https://github.com/baosongyang/WRD
공식 코드Assessing the Ability of Self-Attention Networks to Learn Word Order
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/baoy-nlp/CNAT
공식 코드Non-Autoregressive Translation by Learning Target Categorical Codes
https://github.com/barshana-banerjee/ParaQA
공식 코드ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
https://github.com/basilevh/dissecting-image-crops
공식 코드https://github.com/batman2013/e-commerce_test_sets
공식 코드Code-Switching for Enhancing NMT with Pre-Specified Translation
https://github.com/batmanlab/mspc
공식 코드Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
https://github.com/batsresearch/lexc-gen-data-archive
공식 코드https://github.com/bayer-group/freggan
공식 코드fRegGAN with K-space Loss Regularization for Medical Image Translation
https://github.com/bbrimacombe/quick-back-translation
공식 코드https://github.com/bcmi/BargainNet-Image-Harmonization
공식 코드BargainNet: Background-Guided Domain Translation for Image Harmonization
https://github.com/bcmi220/esc4nmt
공식 코드Explicit Sentence Compression for Neural Machine Translation
https://github.com/bcmi220/runmt
공식 코드Reference Language based Unsupervised Neural Machine Translation
https://github.com/bdqnghi/hierarchical-programming-language-mapping
공식 코드Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code
https://github.com/bebing93/devil-in-details
공식 코드https://github.com/beckdaniel/acl2018_graph2seq
공식 코드Graph-to-Sequence Learning using Gated Graph Neural Networks
https://github.com/benjamin-marie/meta_evaluation_mt
공식 코드Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
https://github.com/benjiDupuis/DeepTopo
공식 코드DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
https://github.com/berkeley-nlp/lex-rules
공식 코드Using Language Models to Disambiguate Lexical Choices in Translation
https://github.com/berlino/btg-seq2seq
공식 코드https://github.com/berlino/tensor2struct-public
공식 코드https://github.com/bert-nmt/bert-nmt
공식 코드https://github.com/besacier/WCE-LIG
공식 코드Automatic Quality Assessment for Speech Translation Using Joint ASR and MT Features
https://github.com/besacier/textless-metric
공식 코드https://github.com/betterze/StyleAlign
공식 코드StyleAlign: Analysis and Applications of Aligned StyleGAN Models
https://github.com/bhaddow/hume-emnlp16
공식 코드https://github.com/bhaddow/pmindia-crawler
공식 코드PMIndia -- A Collection of Parallel Corpora of Languages of India
https://github.com/bharathi-a-7/mtab-cross-lingual-vaccine-stance-detection
공식 코드Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation
https://github.com/biaofuxmu/conslt
공식 코드A Token-level Contrastive Framework for Sign Language Translation
https://github.com/biaofuxmu/east
공식 코드LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
https://github.com/biaofuxmu/fast
공식 코드https://github.com/biblenlp/ebible-experiments
공식 코드The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages
https://github.com/bigganbing/Fairseq_MorphTE
공식 코드https://github.com/bigheiniu/FactGen
공식 코드https://github.com/bin123apple/fortran-cpp-hpc-code-translation-dataset
공식 코드https://github.com/bing-li-ai/AniGAN
공식 코드AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
https://github.com/binuxliu/nocplace
공식 코드NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.