Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 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/bianzheng123/multi-vector-retrieval
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings
https://github.com/bkj/simple_las
https://github.com/blufzzz/Design-Inspiration-from-Generative-Networks
https://github.com/bmitra-msft/NDRM
Learning to Match Using Local and Distributed Representations of Text for Web Search
https://github.com/bnu-wangxun/Deep_Metric
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
https://github.com/bojone/labse
https://github.com/bolajiy/golden-retriever
https://github.com/boleima/topro
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
https://github.com/bombdiggity/paper-bag
Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce
https://github.com/booydar/lm-rmt
https://github.com/booydar/transformer-xl
https://github.com/bowen-gao/drugclip
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
https://github.com/bpiyush/SoundOfWater
https://github.com/brent-murray/tr3d_pointaugdgcnn
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
https://github.com/bryanplummer/flickr30k_entities
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
https://github.com/budnikm/asymmetric_metric_learning
https://github.com/bwconrad/flexivit
https://github.com/caijincen712/CE
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data
https://github.com/capricornguang/a3r
Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models
https://github.com/carrliitos/NLPInformationExtraction
https://github.com/casetext/r-and-r
https://github.com/castorini/Anserini
https://github.com/castorini/birch
https://github.com/castorini/docTTTTTquery
https://github.com/castorini/nuggetizer
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
https://github.com/castorini/pygaggle
https://github.com/ccc013/DeepLearning_Notes
https://github.com/cdluminate/cdluminate
https://github.com/celinechanny/FV-UPatches
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
https://github.com/cerebroai/AskIt
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/chalothon/Graph-Convolutional-Networks-for-Relational-Link-Prediction
https://github.com/chang2000/tfGMN
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
https://github.com/chendelong1999/subobjects
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
https://github.com/chenghaomou/text-dedup
https://github.com/chengricky/PanoramicScenePlaceRecognition
NetVLAD: CNN architecture for weakly supervised place recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.