https://github.com/xuguohai/X-CLIP
공식 코드X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 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/xuhaike/Bi-metric-search
공식 코드https://github.com/xunguangwang/ProS-GAN
공식 코드Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
https://github.com/xunguangwang/cgat
공식 코드CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval
https://github.com/xurige1995/3shnet
공식 코드3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting
https://github.com/xuyuzhuang11/werewolf
공식 코드Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
https://github.com/xwen99/temporal_context_aggregation
공식 코드Temporal Context Aggregation for Video Retrieval with Contrastive Learning
https://github.com/xwhan/ProQA
공식 코드Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering
https://github.com/xydaisjtu/AICM
공식 코드An Adversarial Imitation Click Model for Information Retrieval
https://github.com/xyease/TADAM
공식 코드https://github.com/xyzacademic/RandomDepthwiseCNN
공식 코드Image classification and retrieval with random depthwise signed convolutional neural networks
https://github.com/xzhang00/qstr
공식 코드A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase Generation
https://github.com/y-kishinami/tgcp
공식 코드https://github.com/yago-naga/yago-4.5
공식 코드YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
https://github.com/yahoo/YaraParser
공식 코드https://github.com/yahoo/maaf
공식 코드Training and challenging models for text-guided fashion image retrieval
https://github.com/yairf11/MUPPET
공식 코드Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
https://github.com/yakt00/IRGen
공식 코드https://github.com/yale-lily/r2d2
공식 코드https://github.com/yale-nlp/knowledgemath
공식 코드FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains
https://github.com/yale-nlp/mcts-rag
공식 코드MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
https://github.com/yale-nlp/odsum
공식 코드ODSum: New Benchmarks for Open Domain Multi-Document Summarization
https://github.com/yanbai1993/Dual-Tuning
공식 코드Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
https://github.com/yandex-research/tabm
공식 코드TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
https://github.com/yandex-research/tabpfn-finetuning
공식 코드https://github.com/yandex-research/tabular-dl-tabr
공식 코드https://github.com/yangbang18/clfm
공식 코드Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
https://github.com/yanghongji2007/saig
공식 코드Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
https://github.com/yangliu9208/tcgl
공식 코드TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning
https://github.com/yangliuy/HybridNCM
공식 코드https://github.com/yangliuy/NeuralResponseRanking
공식 코드https://github.com/yangong23/vsenetworkslseh
공식 코드https://github.com/yanliang3612/UNREAL
공식 코드UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification
https://github.com/yanran-tang/casegnn
공식 코드CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
https://github.com/yanran-tang/caselink
공식 코드https://github.com/yanran-tang/promptcase
공식 코드Prompt-based Effective Input Reformulation for Legal Case Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.