Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 33
- 보존된 평가 기록
- 17
Information retrieval is the task of ranking a list of documents or search results in response to a query
<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AleksSol/music_artist_classification
Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/AmazingDD/daisyRec
https://github.com/AndresPMD/StacMR
https://github.com/Ankur3107/dpr-tf
https://github.com/Aolin-MIR/Sequence-to-Sequence-Piano-Transcription-with-Transformers
https://github.com/Ariel-Perez/triplet-net
https://github.com/ArionDas/Generative_AI_Research
Retrieval-Augmented Generation for AI-Generated Content: A Survey
https://github.com/ArvinZhuang/DSI-transformers
https://github.com/Atomu2014/product-nets
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
https://github.com/BPYap/Question-Generation
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
https://github.com/BSlience/end2end-conversational-ai
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/C0sch0/lecturasIIC3633-2021
Deep Learning based Recommender System: A Survey and New Perspectives
https://github.com/CP8315-NNP-JLOPEZ/NNP-Chatbot
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/Code-kunkun/LamRA
LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant
https://github.com/DataCanvasIO/DeepTables
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
https://github.com/DevHyung/dialogue_cl
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/DreamingRaven/Nemesyst
Deep Learning based Recommender System: A Survey and New Perspectives
https://github.com/ESBigeard/paper_graph
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation
https://github.com/EdwardLin2014/CNN-with-IBM-for-Singing-Voice-Separation
https://github.com/EncryptedBinary/Meta_analysis
Financial Report Chunking for Effective Retrieval Augmented Generation
https://github.com/ErikEkstedt/TurnGPT
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/FenQQQ/Fusion-in-decoder
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/GaetanBaert/OMR_deep
Optical Music Recognition with Convolutional Sequence-to-Sequence Models
https://github.com/Georgetown-IR-Lab/curricula-neural-ir
https://github.com/GiuliaLanzillotta/exercises
https://github.com/Guang000/Awesome-Dataset-Distillation
https://github.com/Guzpenha/MANtIS
Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
https://github.com/HSISeg/HSISeg
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images
https://github.com/Hannibal046/nanoDPR
https://github.com/HongruCai/SLGR
https://github.com/IBM/ColBERT-practical
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
https://github.com/IBM/retrieve-write-slot-filling
Robust Retrieval Augmented Generation for Zero-shot Slot Filling
https://github.com/INK-USC/MHGRN
https://github.com/INK-USC/RE-Net
https://github.com/Inria-Chile/risotto
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.