https://github.com/Yale-LILY/LectureBank
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
Papers with Code 아카이브
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/Yan107351111/SSOD
Learning to Detect and Retrieve Objects from Unlabeled Videos
https://github.com/YangLiu9208/SAKDN
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning
https://github.com/YannisTzitzikas/GreekMitosStemmer
https://github.com/YichenLin/MATH-80600A-Project
Deep Learning based Recommender System: A Survey and New Perspectives
https://github.com/YuanJianhao508/RAG-Driver
https://github.com/ZHEvent/ZHEvent.github.io
https://github.com/ZIZUN/MAFiD
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/Zefty/rag-end2end-retriever
https://github.com/ZenzenDatabase/CMR_audiovisual
Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
https://github.com/Zhiyu-Chen/SIGIR2020-BERT-Table-Search
https://github.com/aakash222/text-segmentation-NLP
https://github.com/aaronbae/AnaQA
https://github.com/abhidipbhattacharyya/srl_aware_ret
https://github.com/abhilekha-dalal/ConceptLens
https://github.com/abmitra84/recommender_system
Deep Learning based Recommender System: A Survey and New Perspectives
https://github.com/adamlerer/synthwiki
Attention Sorting Combats Recency Bias In Long Context Language Models
https://github.com/adelra/query-expansion
Improving Information Retrieval Results for Persian Documents using FarsNet
https://github.com/adipai/haralick-textural-feature-analysis
Gray Level Co-Occurrence Matrices: Generalisation and Some New Features
https://github.com/ag-gipp/MathMLben
https://github.com/ahangchen/rank-reid
A Discriminatively Learned CNN Embedding for Person Re-identification
https://github.com/ahmdtaha/constrained_attention_filter
A Generic Visualization Approach for Convolutional Neural Networks
https://github.com/ahmetius/diffusion-retrieval
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
https://github.com/ai-hpc-research-team/git-mol
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/ai-hpc-research-team/slm4mol
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/ai4eic/eic-rag-project
Retrieval-Augmented Generation for Large Language Models: A Survey
https://github.com/aidinhass/tf-sphcnn
Learning SO(3) Equivariant Representations with Spherical CNNs
https://github.com/airKlizz/MsMarco
https://github.com/airi-institute/al_toolbox
https://github.com/akashe/ProgrammingInterview
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
https://github.com/akshaygadipatil/LayoutGMN-pytorch
LayoutGMN: Neural Graph Matching for Structural Layout Similarity
https://github.com/albertotestoni/ndq_visual_objects
Grounding Language Models to Images for Multimodal Inputs and Outputs
https://github.com/albpurpura/PE4IR
https://github.com/alecokas/BiLatticeRNN-Confidence
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
https://github.com/alecokas/lattice_rnn
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
https://github.com/alemol/flat
Active learning in annotating micro-blogs dealing with e-reputation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.