https://github.com/jasl1/robustsentembed
공식 코드RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
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/jeongwoopark0514/morality-is-non-binary
공식 코드https://github.com/jjy961228/ConCSE
공식 코드ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings
https://github.com/jyhuang36/intersent
공식 코드https://github.com/kathrinblagec/neural-sentence-embedding-models-for-biomedical-applications
공식 코드Neural sentence embedding models for semantic similarity estimation in the biomedical domain
https://github.com/kevinkrahn/ancient-greek-datasets
공식 코드Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
https://github.com/kongds/prompt-bert
공식 코드https://github.com/kongds/scaling_sentemb
공식 코드https://github.com/kornwtp/mixsp
공식 코드https://github.com/kwang2049/pytorch-bertflow
공식 코드https://github.com/kwang2049/useb
공식 코드https://github.com/l3cube-pune/MarathiNLP
공식 코드https://github.com/lamsoma/auto_nli
공식 코드Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
https://github.com/lancopku/avg-avg
공식 코드Holistic Sentence Embeddings for Better Out-of-Distribution Detection
https://github.com/lemonsis/ctrlstruct
공식 코드CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation
https://github.com/lingjzhu/spoken_sent_embedding
공식 코드Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
https://github.com/lisaaa1017/fanchuan
공식 코드FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
https://github.com/loginaway/storyanalogy
공식 코드https://github.com/lukecq1231/generalized-pooling
공식 코드https://github.com/lydianish/rolaser
공식 코드https://github.com/madhawav/MML
공식 코드Video Moment Localization using Object Evidence and Reverse Captioning
https://github.com/mao-ku/ems
공식 코드EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning
https://github.com/matthewcym/gense
공식 코드Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
https://github.com/megagonlabs/emu
공식 코드Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
https://github.com/microsoft/Distilled-Sentence-Embedding
공식 코드Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
https://github.com/minhtriet/gas_market
공식 코드Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
https://github.com/mrpeerat/sct
공식 코드An Efficient Self-Supervised Cross-View Training For Sentence Embedding
https://github.com/namco0816/pt-bert
공식 코드https://github.com/nayohan/senticse
공식 코드https://github.com/nilesc/Long-Structured-Debate-Generation-and-Evaluation
공식 코드https://github.com/pootiet/augcse
공식 코드AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
https://github.com/psoulos/role-decomposition
공식 코드Discovering the Compositional Structure of Vector Representations with Role Learning Networks
https://github.com/raghavlite/GenEOL
공식 코드GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings
https://github.com/rainavyas/naacl-2022-residue-detector
공식 코드https://github.com/sap-samples/acl2023-micse
공식 코드miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings
https://github.com/sebischair/fusionsent
공식 코드Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.