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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 5
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/isenglab/stp
공식 코드https://github.com/ishan00/translation-for-code-switching-acl
공식 코드From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
https://github.com/isi-nlp/Zoph_RNN
공식 코드https://github.com/isi-nlp/nlcodec
공식 코드Many-to-English Machine Translation Tools, Data, and Pretrained Models
https://github.com/isi-nlp/stamp
공식 코드https://github.com/isl-mt/SemanticWordReplacement-LREC2018
공식 코드https://github.com/isl-org/PhotorealismEnhancement
공식 코드https://github.com/islamamirul/permutenet
공식 코드Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
https://github.com/ismarou/How_to_track_your_Dragon
공식 코드https://github.com/isosnovik/SiamSE
공식 코드https://github.com/ispamm/hi2i
공식 코드https://github.com/ispras/atr4s
공식 코드ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala
https://github.com/issam9/adapters-simt
공식 코드Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters
https://github.com/ist-daslab/sparsefinetuning
공식 코드Sparse Fine-tuning for Inference Acceleration of Large Language Models
https://github.com/itsss/img2img_sa
공식 코드Unsupervised Image-to-Image Translation with Self-Attention Networks
https://github.com/ivannikov-lab/arpa-paraphrase-corpus
공식 코드https://github.com/ivanwang0730/styleap
공식 코드Controlling Styles in Neural Machine Translation with Activation Prompt
https://github.com/ivrl/dsi2i
공식 코드https://github.com/izecson/terminology-translation
공식 코드Rule-based Morphological Inflection Improves Neural Terminology Translation
https://github.com/j05t/lesion-analysis
공식 코드https://github.com/j22melody/signwriting-translation
공식 코드Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting
https://github.com/jacob-parnell-rozetta/sumtra
공식 코드SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization
https://github.com/jacobandreas/neuralese
공식 코드https://github.com/jacobkrantz/VertMetric
공식 코드https://github.com/jaechan-repo/mt-ambiguity
공식 코드That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
https://github.com/jairsan/Stream-level_Latency_Evaluation_for_Simultaneous_Machine_Translation
공식 코드Stream-level Latency Evaluation for Simultaneous Machine Translation
https://github.com/jairsan/segmentation-free_streaming_machine_translation
공식 코드https://github.com/james-oldfield/adv-attribute-disentanglement
공식 코드Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes
https://github.com/james-simon/reverse-engineering
공식 코드https://github.com/james-simon/shallow-learning
공식 코드https://github.com/jamfly/AlloST
공식 코드AlloST: Low-resource Speech Translation without Source Transcription
https://github.com/jammer345/SL-CycleGAN-Blind-Motion-Deblurring-in-Cycles-using-Sparse-Learning
공식 코드SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning
https://github.com/jampang41/cst-s3d
공식 코드https://github.com/jamydon/scoi
공식 코드SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation
https://github.com/janheuer/anthem
공식 코드Automated Verification of Equivalence Properties in Advanced Logic Programs -- Bachelor Thesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.