https://github.com/deargen/cmg
공식 코드Controlled Molecule Generator for Optimizing Multiple Chemical Properties
Papers with Code 아카이브
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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/debadityaqu/rddm
공식 코드Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
https://github.com/deep-mi/yoda
공식 코드https://github.com/deep-privacy/x-vector-procrustes
공식 코드On the invertibility of a voice privacy system using embedding alignement
https://github.com/deep-spin/OpenNMT-APE
공식 코드A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning
https://github.com/deep-spin/S7
공식 코드https://github.com/deep-spin/chunk-based_knn-mt
공식 코드https://github.com/deep-spin/efficient_knn_mt
공식 코드https://github.com/deep-spin/entmax
공식 코드https://github.com/deep-spin/lmt_hallucinations
공식 코드https://github.com/deep-spin/mcan-vqa-continuous-attention
공식 코드https://github.com/deep-spin/ot-hallucination-detection
공식 코드Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation
https://github.com/deep-spin/qaware-decode
공식 코드https://github.com/deep-spin/quest-decoding
공식 코드QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation
https://github.com/deep-spin/robust_mt_evaluation
공식 코드BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation
https://github.com/deep-spin/spec
공식 코드The Explanation Game: Towards Prediction Explainability through Sparse Communication
https://github.com/deep-spin/ssm-mt
공식 코드How Effective are State Space Models for Machine Translation?
https://github.com/deep-spin/tower-eval
공식 코드Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
https://github.com/deep-spin/translation-hypothesis-ensembling
공식 코드An Empirical Study of Translation Hypothesis Ensembling with Large Language Models
https://github.com/deep-spin/treqa
공식 코드Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
https://github.com/deep-spin/ua_comet
공식 코드https://github.com/deep-spin/uncertainties_mt_eval
공식 코드https://github.com/deeplearnxmu/bigvideo-vmt
공식 코드BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation
https://github.com/deeplearnxmu/knn-mt-dr
공식 코드Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
https://github.com/deeplearnxmu/mc_tit
공식 코드Exploring Better Text Image Translation with Multimodal Codebook
https://github.com/deeplearnxmu/revisedkey-knn-mt
공식 코드https://github.com/deeplearnxmu/robust-knn-mt
공식 코드https://github.com/deeplearnxmu/scaling4nat
공식 코드https://github.com/deepmipt/seq2seq_scg
공식 코드Using stochastic computation graphs formalism for optimization of sequence-to-sequence model
https://github.com/deeps73/CycleDistill
공식 코드CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
https://github.com/deezer/MultilingualMusicGenreEmbedding
공식 코드Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
https://github.com/deezer/MusicGenreTranslation
공식 코드Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation
https://github.com/deezer/audio_based_disambiguation_of_music_genre_tags
공식 코드https://github.com/deezer/recsys21-hlr
공식 코드Hierarchical Latent Relation Modeling for Collaborative Metric Learning
https://github.com/dellixx/transerr
공식 코드TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
https://github.com/demelin/detecting_wsd_biases_for_nmt
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.