Papers with Code 아카이브
Retrieval
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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/CRIPAC-DIG/GHRM
공식 코드Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
https://github.com/CRIPAC-DIG/GRMM
공식 코드https://github.com/CSIPlab/learnPR_reference
공식 코드https://github.com/CVLAB-Unibo/clip2nerf
공식 코드https://github.com/Cadene/recipe1m.bootstrap.pytorch
공식 코드Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings
https://github.com/Camille112/T-CLAP
공식 코드Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio Pairs
https://github.com/CharizardAcademy/modoc
공식 코드MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions
https://github.com/Chen-Junyang-cn/PLI
공식 코드Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval
https://github.com/Chen-Wang-CUHK/KG-KE-KR-M
공식 코드An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
https://github.com/ChenRocks/UNITER
공식 코드https://github.com/ChenlongDeng/KELLER
공식 코드Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
https://github.com/ChihebTrabelsi/deep_complex_networks
공식 코드https://github.com/Chriskuei/GERE
공식 코드https://github.com/Chutlhu/dEchorate
공식 코드dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing
https://github.com/Code-kunkun/ZS-CIR
공식 코드https://github.com/CogComp/perspectroscope
공식 코드PerspectroScope: A Window to the World of Diverse Perspectives
https://github.com/Cold-Winter/BachGAN
공식 코드BachGAN: High-Resolution Image Synthesis from Salient Object Layout
https://github.com/CompNet/CharNetReview
공식 코드Extraction and Analysis of Fictional Character Networks: A Survey
https://github.com/CompNet/conivel
공식 코드Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset
https://github.com/Confusezius/metric-learning-mining-interclass-characteristics
공식 코드MIC: Mining Interclass Characteristics for Improved Metric Learning
https://github.com/CryhanFang/CLIP2Video
공식 코드https://github.com/Cuberick-Orion/Bi-Blip4CIR
공식 코드Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
https://github.com/Cuberick-Orion/CIRPLANT
공식 코드Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
https://github.com/Cuberick-Orion/CIRR
공식 코드Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
https://github.com/Cuberick-Orion/Candidate-Reranking-CIR
공식 코드Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
https://github.com/Cyril-JZ/InteR
공식 코드Synergistic Interplay between Search and Large Language Models for Information Retrieval
https://github.com/D-Roberts/multilingual_nli_ECIR2021
공식 코드https://github.com/D2KLab/dstc9-SIMMC
공식 코드A Response Retrieval Approach for Dialogue Using a Multi-Attentive Transformer
https://github.com/DAVEISHAN/TCLR
공식 코드TCLR: Temporal Contrastive Learning for Video Representation
https://github.com/DI4IR/SIGIR2021
공식 코드https://github.com/Dacun/Text-based-Person-Search
공식 코드Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
https://github.com/DagnyT/hardnet
공식 코드Working hard to know your neighbor's margins: Local descriptor learning loss
https://github.com/Dakantz/OnSET
공식 코드https://github.com/Dana-L/PSDMF
공식 코드https://github.com/DannielSilva/RS-M-CLIP
공식 코드Multilingual Vision-Language Pre-training for the Remote Sensing Domain
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.