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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/THUNLP-MT/Voting4SC

공식 코드

Modeling Voting for System Combination in Machine Translation

https://github.com/TIXFeniks/neurips2019_intrus

공식 코드

Sequence Modeling with Unconstrained Generation Order

https://github.com/TUM-DAML/gemnet_pytorch

공식 코드

GemNet: Universal Directional Graph Neural Networks for Molecules

https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale

공식 코드

Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale

https://github.com/TheoDEPRELLE/AtlasNetV2

공식 코드

Learning elementary structures for 3D shape generation and matching

https://github.com/TickleForce/ancient-greek-datasets

공식 코드

Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation

https://github.com/Tiiiger/bert_score

공식 코드

BERTScore: Evaluating Text Generation with BERT

https://github.com/TimeLighter/pytorch-sym-parameter

공식 코드

Sym-parameterized Dynamic Inference for Mixed-Domain Image Translation

https://github.com/TmacMai/ARGF_multimodal_fusion

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Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

https://github.com/Toadoum/Ngambay-French-Neural-Machine-Translation-sba_fr_v1-

공식 코드

Ngambay-French Neural Machine Translation (sba-Fr)

https://github.com/UBC-NLP/africaNLP2021

공식 코드

Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked Settings

https://github.com/UKPLab/coling2018-xling_argument_mining

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Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!

https://github.com/UMich-BipedLab/extrinsic_lidar_camera_calibration

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Improvements to Target-Based 3D LiDAR to Camera Calibration

https://github.com/UMich-BipedLab/global_pose_estimation_for_optimal_shape

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Optimal Target Shape for LiDAR Pose Estimation

https://github.com/Unbabel/COMET

공식 코드

COMET: A Neural Framework for MT Evaluation

https://github.com/Unbabel/OpenKiwi

공식 코드

OpenKiwi: An Open Source Framework for Quality Estimation

https://github.com/Unbabel/translator2vec

공식 코드

Translator2Vec: Understanding and Representing Human Post-Editors

https://github.com/UriSha/EmbeddinglessNMT

공식 코드

Neural Machine Translation without Embeddings

https://github.com/UtsaChattopadhyay/MSAI/blob/main/SourceCode%20for%20low%20Resource%20MT.zip

공식 코드

Neural Machine Translation For Low Resource Languages

https://github.com/V-Sense/A-Geometry-Sensitive-Approach-for-Photographic-Style-Classification

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A Geometry-Sensitive Approach for Photographic Style Classification

https://github.com/VLL-HD/conditional_INNs

공식 코드

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation

https://github.com/VProv/BPE-Dropout

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BPE-Dropout: Simple and Effective Subword Regularization

https://github.com/Veteranback/miniformer

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Efficient Machine Translation with a BiLSTM-Attention Approach

https://github.com/VisualJoyce/andushu

공식 코드

Investigating Math Word Problems using Pretrained Multilingual Language Models

https://github.com/Waino/OpenNMT-py

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Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation

https://github.com/Waino/morfessor-emprune

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Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning

https://github.com/WeijingShi/Point-GNN

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Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

https://github.com/WonwoongCho/GDWCT

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Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation

https://github.com/WulffHunter/log_generator

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On Automatic Parsing of Log Records

https://github.com/X-LANCE/SLAM-LLM

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CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought

https://github.com/XL2248/CPCC

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Modeling Bilingual Conversational Characteristics for Neural Chat Translation

https://github.com/XapaJIaMnu/marian-dev

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Not all parameters are born equal: Attention is mostly what you need

https://github.com/Xiaoming-Yu/DMIT

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Multi-mapping Image-to-Image Translation via Learning Disentanglement

https://github.com/Xiaoming-Yu/SingleGAN

공식 코드

SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning

https://github.com/XinS0909/Diverse_Sign_Language_Translation

공식 코드

Diverse Sign Language Translation

https://github.com/Xinyu-Yi/TransPose

공식 코드

TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.