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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hasibzunair/synthetic-covid-cxr-dataset
공식 코드Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
https://github.com/hassyGo/NLG-RL
공식 코드Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
https://github.com/havenpersona/k-pop
공식 코드K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
https://github.com/havenpersona/lt_dataset
공식 코드K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
https://github.com/hdstat/laplace-hdc
공식 코드Laplace-HDC: Understanding the geometry of binary hyperdimensional computing
https://github.com/hecta-uom/clinicalnmt
공식 코드https://github.com/heidelkin/BIPNMT
공식 코드A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation
https://github.com/heig-iict-ida/huffman-tokenizer
공식 코드Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT
https://github.com/heitorrapela/HalluciDet
공식 코드HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
https://github.com/heitorrapela/modprompt
공식 코드Visual Modality Prompt for Adapting Vision-Language Object Detectors
https://github.com/heitorrapela/modtr
공식 코드Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
https://github.com/helibenhamu/multichart3dgans
공식 코드https://github.com/hellomystery/agtgan
공식 코드AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation
https://github.com/helsinki-nlp/mammoth
공식 코드MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
https://github.com/helsinki-nlp/opus-mt
공식 코드https://github.com/hemingkx/gad
공식 코드Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
https://github.com/hemingkx/specdec
공식 코드Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
https://github.com/henrylittle/glofe
공식 코드https://github.com/hexagonprime/pix2nerf
공식 코드Pix2NeRF: Unsupervised Conditional $π$-GAN for Single Image to Neural Radiance Fields Translation
https://github.com/hexuandeng/mono4simt
공식 코드Improving Simultaneous Machine Translation with Monolingual Data
https://github.com/heyblackC/DFMIR
공식 코드https://github.com/hfmei/idc
공식 코드Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
https://github.com/hienvuhuy/transcoref
공식 코드Context-Aware Machine Translation with Source Coreference Explanation
https://github.com/hindawi91/dips
공식 코드https://github.com/hipgraph/sptransx
공식 코드https://github.com/hiroyuki-kasai/RSOpt
공식 코드Riemannian stochastic variance reduced gradient on Grassmann manifold
https://github.com/hitz-zentroa/truthfulqa-multi
공식 코드Truth Knows No Language: Evaluating Truthfulness Beyond English
https://github.com/hiyouga/llama-factory
공식 코드Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
https://github.com/hkust-vgd/architectural_style_transfer
공식 코드Time-of-Day Neural Style Transfer for Architectural Photographs
https://github.com/hkust-vgd/riconv
공식 코드Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
https://github.com/hlei-ziyan/SPH3D-GCN
공식 코드Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
https://github.com/hlt-mt/fbk-fairseq
공식 코드Does Simultaneous Speech Translation need Simultaneous Models?
https://github.com/hlt-mt/fbk-neutr-eval
공식 코드Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus
https://github.com/hltcoe/colbert-x
공식 코드https://github.com/hltcoe/psq
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.