https://github.com/kunimi00/contrastivesslmusicaudio
공식 코드Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 3
- 평가표
- 11
- 보존된 평가 기록
- 19
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kurdishblark/kurdishnamedentities
공식 코드A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities
https://github.com/kushagrabhushan/Systematic-Knowledge-Injection
공식 코드https://github.com/kushalchauhan98/ticket-segmentation
공식 코드https://github.com/kutaytire/retrieval-augmented-time-series-forecasting
공식 코드https://github.com/kwadraterry/norppa
공식 코드NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation
https://github.com/kwang2049/dapr
공식 코드https://github.com/kwang927/information-regularization
공식 코드https://github.com/kyriemao/chatretriever
공식 코드https://github.com/kyungyunlee/ismir2018-revisiting-svd
공식 코드Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
https://github.com/kz-song/mmsrec
공식 코드https://github.com/l3cube-pune/MarathiNLP
공식 코드https://github.com/labbeti/aac-metrics
공식 코드https://github.com/laion-ai/scaling-laws-openclip
공식 코드Reproducible scaling laws for contrastive language-image learning
https://github.com/laituan245/el-dockers
공식 코드Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking
https://github.com/lamp-benchmark/lamp
공식 코드Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
https://github.com/lancopku/IAIS
공식 코드Learning Relation Alignment for Calibrated Cross-modal Retrieval
https://github.com/lancopku/livebot
공식 코드LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
https://github.com/lanfeng4659/STR-TDSL
공식 코드Scene Text Retrieval via Joint Text Detection and Similarity Learning
https://github.com/lanfeng4659/pstr
공식 코드https://github.com/lanl/t-elf
공식 코드HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
https://github.com/laquabe/know3rag
공식 코드Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
https://github.com/larsdoorenbos/ulisse
공식 코드ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection
https://github.com/lasigeBioTM/BiQA
공식 코드Generating Biomedical Question Answering Corpora from Q&A forums
https://github.com/lauhaide/ragu
공식 코드Uncertainty Quantification in Retrieval Augmented Question Answering
https://github.com/launchnlp/ManyICLBench
공식 코드https://github.com/laura-wang/video-pace
공식 코드Self-supervised Video Representation Learning by Pace Prediction
https://github.com/laura-wang/video_repres_sts
공식 코드Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
https://github.com/lavieenrose365/rella
공식 코드https://github.com/lavieenrose365/rellax
공식 코드https://github.com/lavis-nlp/CoRT
공식 코드https://github.com/law-ai/document-similarity
공식 코드Legal Case Document Similarity: You Need Both Network and Text
https://github.com/layer6ai-labs/fusemix
공식 코드https://github.com/layer6ai-labs/xpool
공식 코드X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
https://github.com/layumi/2016_person_re-ID
공식 코드A Discriminatively Learned CNN Embedding for Person Re-identification
https://github.com/layumi/A_reID
공식 코드Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.