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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ynklab/SGET
공식 코드Evaluating Structural Generalization in Neural Machine Translation
https://github.com/ynklab/xcodesearchnet
공식 코드Constructing Multilingual Code Search Dataset Using Neural Machine Translation
https://github.com/yogarshi/SemDiverge
공식 코드Identifying Semantic Divergences in Parallel Text without Annotations
https://github.com/yongcaoplus/tin-slt
공식 코드https://github.com/yongchanghao/multi-task-nat
공식 코드Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
https://github.com/yongchao98/autotamp
공식 코드AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
https://github.com/yongqyu/TCN
공식 코드https://github.com/yooceii/Rotation-Translation-and-Cropping-for-Zero-Shot-Generalization
공식 코드Rotation, Translation, and Cropping for Zero-Shot Generalization
https://github.com/yoonkim/neural-qcfg
공식 코드https://github.com/youkely/InfrasCal
공식 코드Infrastructure-based Multi-Camera Calibration using Radial Projections
https://github.com/yousefis/ASL2PET
공식 코드https://github.com/youyuge34/PI-REC
공식 코드PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain
https://github.com/ysy9997/360Depth
공식 코드Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth
https://github.com/yuchen005/gentranslate
공식 코드GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
https://github.com/yuedongP/EditNTS
공식 코드EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
https://github.com/yuhed/modify
공식 코드https://github.com/yukewang96/tc-gnn_atc23
공식 코드TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs
https://github.com/yulu-dada/learned-conf-nmt
공식 코드Learning Confidence for Transformer-based Neural Machine Translation
https://github.com/yunhaoyang234/Multi-Filter-Seq2Seq-Model
공식 코드https://github.com/yunsukim86/sockeye-transfer
공식 코드Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
https://github.com/yunyanxing/pairwise_xray_augmentation
공식 코드Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
https://github.com/yutongwang1216/docmtagent
공식 코드DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
https://github.com/yutongwang1216/reflectionllmmt
공식 코드TasTe: Teaching Large Language Models to Translate through Self-Reflection
https://github.com/yxgeee/SDA
공식 코드Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
https://github.com/yxgeee/VisDA-ECCV20
공식 코드Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
https://github.com/yxgong0/STIG
공식 코드https://github.com/yxuansu/NAG-BERT
공식 코드Non-Autoregressive Text Generation with Pre-trained Language Models
https://github.com/yy-ye/mqm-analysis
공식 코드https://github.com/yyliu01/tracoco
공식 코드Translation Consistent Semi-supervised Segmentation for 3D Medical Images
https://github.com/yz-ignescent/Not-So-Random-Features
공식 코드https://github.com/yz1019117968/fse-24-unitrans
공식 코드Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
https://github.com/yzh119/BPT
공식 코드BP-Transformer: Modelling Long-Range Context via Binary Partitioning
https://github.com/yzpang/gold-off-policy-text-gen-iclr21
공식 코드https://github.com/yzqin/dexmv-sim
공식 코드DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
https://github.com/zanchangtong/csr4mbart
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.