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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wtliao/ImageTransformer
공식 코드https://github.com/wtma/PR-Embedding
공식 코드Conversational Word Embedding for Retrieval-Based Dialog System
https://github.com/wuchengyuan88/room-occupancy-topology
공식 코드https://github.com/wujunjie1998/btpgbt
공식 코드Towards General Error Diagnosis via Behavioral Testing in Machine Translation
https://github.com/wujunjie1998/twga
공식 코드Rethinking Targeted Adversarial Attacks For Neural Machine Translation
https://github.com/wwxu21/CER-MT
공식 코드https://github.com/wxjiao/Data-Rejuvenation
공식 코드Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
https://github.com/wxjiao/UncSamp
공식 코드Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
https://github.com/wxjiao/is-chatgpt-a-good-translator
공식 코드https://github.com/wxjiao/parrot
공식 코드https://github.com/wxjiao/wmt2022-large-scale-african
공식 코드Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages
https://github.com/wzell/mann
공식 코드Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment
https://github.com/xdushi/cshnet
공식 코드CSHNet: A Novel Information Asymmetric Image Translation Method
https://github.com/xguo7/NEC-DGT
공식 코드Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
https://github.com/xianggao1102/fbsdiff
공식 코드https://github.com/xianggao1102/fcdiffusion
공식 코드Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
https://github.com/xiangyusu611/tmt
공식 코드https://github.com/xiaoaoran/SynLiDAR
공식 코드Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
https://github.com/xiaomi/simust-c
공식 코드Rethinking the Reasonability of the Test Set for Simultaneous Machine Translation
https://github.com/xiaoyi0814/canmt
공식 코드https://github.com/xinario/awesome-gan-for-medical-imaging
공식 코드https://github.com/xingniu/multitask-ft-fsmt
공식 코드Multi-Task Neural Models for Translating Between Styles Within and Across Languages
https://github.com/xingniu/sockeye
공식 코드Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation
https://github.com/xiongsiheng/tg-llm
공식 코드https://github.com/xjtu-xgu/otcs
공식 코드Optimal Transport-Guided Conditional Score-Based Diffusion Models
https://github.com/xl2248/csa-nct
공식 코드Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
https://github.com/xl2248/msctd
공식 코드https://github.com/xl2248/sml
공식 코드https://github.com/xl2248/vhm
공식 코드A Variational Hierarchical Model for Neural Cross-Lingual Summarization
https://github.com/xl8-ai/wordsimt
공식 코드Enhanced Simultaneous Machine Translation with Word-level Policies
https://github.com/xlhex/SceneGraphModification
공식 코드https://github.com/xlhex/dpe
공식 코드Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
https://github.com/xllyu-nlp/docia
공식 코드DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
https://github.com/xrenaa/CS-DisMo
공식 코드Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
https://github.com/xtinkt/editable
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.