https://github.com/caskcsg/sentemb/tree/main/gsInfoNCE
공식 코드Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Papers with Code 아카이브
Sentence Embedding
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/chillingdream/dap
공식 코드Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
https://github.com/circle-ming/multicsr
공식 코드https://github.com/clcl-geneva/blm-snfdisentangling
공식 코드https://github.com/coisini-glenda/wsdan-for-medical-visual-question-answering
공식 코드https://github.com/cosmmb/DCNN
공식 코드Dependency-based Convolutional Neural Networks for Sentence Embedding
https://github.com/cycraft-corp/CmdCaliper
공식 코드CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research
https://github.com/cyx617/Text-Classification-MSFF-QDConv-Model
공식 코드Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
https://github.com/davidherel/semantics-preserving-encoder
공식 코드https://github.com/ddehun/coling2022_reweighting_sts
공식 코드Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
https://github.com/dev-chauhan/PQG-pytorch
공식 코드Revisiting Paraphrase Question Generator using Pairwise Discriminator
https://github.com/dipta007/semeval24-task8
공식 코드https://github.com/dll-wu/is-cse
공식 코드Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
https://github.com/duyngtr16061999/kdmcse
공식 코드https://github.com/egojr/adapair
공식 코드https://github.com/epfl-ml4ed/unraveling-llm-bias
공식 코드https://github.com/epochx/emoatt
공식 코드EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity
https://github.com/eqtpartners/pause
공식 코드https://github.com/euranova/CASS-dataset
공식 코드STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
https://github.com/facebookresearch/large_concept_model
공식 코드Large Concept Models: Language Modeling in a Sentence Representation Space
https://github.com/facebookresearch/sonar
공식 코드SONAR: Sentence-Level Multimodal and Language-Agnostic Representations
https://github.com/fredxlpy/luxembedder
공식 코드LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings
https://github.com/h-tayyarmadabushi/semeval_2022_task2-idiomaticity
공식 코드SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
https://github.com/heavenhellchen/recse
공식 코드reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning
https://github.com/hesfahanizadeh/neuralinformationshaping
공식 코드TexShape: Information Theoretic Sentence Embedding for Language Models
https://github.com/hiarsal/dae-gan
공식 코드DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
https://github.com/hkust-knowcomp/geia
공식 코드https://github.com/hly1998/RankingSentenceGeneration
공식 코드Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
https://github.com/hongwang600/Lifelong_Relation_Detection
공식 코드Sentence Embedding Alignment for Lifelong Relation Extraction
https://github.com/hppRC/defsent
공식 코드https://github.com/hpprc/simple-simcse-ja
공식 코드https://github.com/hyp1231/amazonreviews2023
공식 코드Bridging Language and Items for Retrieval and Recommendation
https://github.com/iclr2020-anonymous1/role-learner
공식 코드Discovering the Compositional Structure of Vector Representations with Role Learning Networks
https://github.com/imatge-upc/vqa-2016-cvprw
공식 코드https://github.com/ixomaxip/hasoc
공식 코드https://github.com/jacksonwuxs/noppa
공식 코드NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.