https://github.com/p-lambda/composed_finetuning
공식 코드Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/p-lambda/unlabeled_outputs
공식 코드Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
https://github.com/pangjh3/llm4mt
공식 코드Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models
https://github.com/papago-lab/holly-benchmark
공식 코드Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints
https://github.com/pardissz/translate-with-care
공식 코드https://github.com/partofthestars/PPGI-Toolbox
공식 코드https://github.com/patrickrperrine/comp-choreo
공식 코드KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art
https://github.com/patrickywu/marmot
공식 코드https://github.com/pcy1302/TransCF
공식 코드https://github.com/pedrodke/libris2s
공식 코드LibriS2S: A German-English Speech-to-Speech Translation Corpus
https://github.com/pedroodb/sign_attention
공식 코드SignAttention: On the Interpretability of Transformer Models for Sign Language Translation
https://github.com/pegahsalehi/Stain-to-Stain-Translation
공식 코드https://github.com/pemywei/MSC-NMT
공식 코드Multiscale Collaborative Deep Models for Neural Machine Translation
https://github.com/pemywei/csanmt
공식 코드Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
https://github.com/pengr/ikd-mmt
공식 코드Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation
https://github.com/pengr/mono_slt
공식 코드https://github.com/perceivelab/surfacenet
공식 코드SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
https://github.com/personads/synvae
공식 코드https://github.com/peteanderson80/Matterport3DSimulator
공식 코드https://github.com/pfriedri/cwdm
공식 코드cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis
https://github.com/phenixace/molregpt
공식 코드https://github.com/phmeier/smaragd
공식 코드SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph Distance
https://github.com/phuongnm94/PhraseTransformer
공식 코드An Effective Method using Phrase Mechanism in Neural Machine Translation
https://github.com/pix2pixzero/pix2pix-zero
공식 코드https://github.com/pkunlp-icler/mls
공식 코드Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation
https://github.com/pkunlp-icler/off-target-mnmt
공식 코드On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
https://github.com/plant-ai-biophysics-lab/agile
공식 코드https://github.com/plippmann/multimodal-manga-translation
공식 코드Context-Informed Machine Translation of Manga using Multimodal Large Language Models
https://github.com/pluslabnlp/clap
공식 코드Contextual Label Projection for Cross-Lingual Structured Prediction
https://github.com/pluslabnlp/zero_shot_cqa
공식 코드Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
https://github.com/pmichel31415/mtnt
공식 코드https://github.com/poethan/AlphaMWE
공식 코드AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations
https://github.com/poethan/MWE4MT
공식 코드MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora
https://github.com/ponimatkin/focalpose
공식 코드Focal Length and Object Pose Estimation via Render and Compare
https://github.com/pootiet/explain-then-translate
공식 코드https://github.com/pooyafayyaz/fingerspelling-posenet
공식 코드Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.