SOTAVerified

Retrieval

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.

Papers

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Showing 13201–13250 of 14297 papers

TitleStatusHype
Retrieval Term Prediction Using Deep Learning Methods—0
Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity—0
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization—0
Task Specific Adversarial Cost Function—0
Image Retrieval with Fisher Vectors of Binary Features—0
WS4A: a Biomedical Question and Answering System based on public Web Services and Ontologies—0
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment—0
Learning Language-Visual Embedding for Movie Understanding with Natural-Language—0
Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval—0
Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect—0
How should we evaluate supervised hashing?Code0
Enhancing LambdaMART Using Oblivious Trees—0
Generalized residual vector quantization for large scale data—0
Barcodes for Medical Image Retrieval Using Autoencoded Radon Transform—0
Interactive Spoken Content Retrieval by Deep Reinforcement Learning—0
Radon-Gabor Barcodes for Medical Image Retrieval—0
Transport-based analysis, modeling, and learning from signal and data distributions—0
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)—0
Sharing Hash Codes for Multiple Purposes—0
Deep Neural Networks for YouTube RecommendationsCode0
A Hybrid Citation Retrieval Algorithm for Evidence-based Clinical Knowledge Summarization: Combining Concept Extraction, Vector Similarity and Query Expansion for High Precision—0
CRTS: A type system for representing clinical recommendations—0
Lexical-Morphological Modeling for Legal Text Analysis—0
Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison—0
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information AccessCode0
Modality: logic, semantics, annotation and machine learning—0
Facial Surface Analysis using Iso-Geodesic Curves in Three Dimensional Face Recognition System—0
Bibliometrics and Information Retrieval: Creating Knowledge through Research Synergies—0
Where is my Phone ? Personal Object Retrieval from Egocentric Images—0
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm—0
Unsupervised, Efficient and Semantic Expertise RetrievalCode1
Distributed Representations for Biological Sequence Analysis—0
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing—0
A Shallow High-Order Parametric Approach to Data Visualization and Compression—0
Unbiased Learning-to-Rank with Biased Feedback—0
Scalable Learning of Non-Decomposable ObjectivesCode0
Transitive Hashing Network for Heterogeneous Multimedia Retrieval—0
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval—0
Using Centroids of Word Embeddings and Word Mover's Distance for Biomedical Document Retrieval in Question Answering—0
When was that made?—0
DeepDiary: Automatic Caption Generation for Lifelogging Image StreamsCode0
Content-based image retrieval tutorialCode0
Multi-View Product Image Search Using Deep ConvNets Representations—0
Fashion Landmark Detection in the WildCode0
OnionNet: Sharing Features in Cascaded Deep Classifiers—0
Learning Joint Representations of Videos and Sentences with Web Image Search—0
Compressive Change Retrieval for Moving Object Detection—0
A Distance for HMMs based on Aggregated Wasserstein Metric and State RegistrationCode0
SIFT Meets CNN: A Decade Survey of Instance RetrievalCode0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified