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 3201–3250 of 14297 papers

TitleStatusHype
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual FeaturesCode0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Learning Dynamic Author Representations with Temporal Language ModelsCode0
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn GraphsCode0
Learning Disentangled Representations of Texts with Application to Biomedical AbstractsCode0
Learning Disentangled Representations via Mutual Information EstimationCode0
Automated crater shape retrieval using weakly-supervised deep learningCode0
Learning Discriminative 3D Shape Representations by View Discerning NetworksCode0
The iMet Collection 2019 Challenge DatasetCode0
Learning Dual Retrieval Module for Semi-supervised Relation ExtractionCode0
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin SoftmaxCode0
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
Let's Transfer Transformations of Shared Semantic RepresentationsCode0
Adaptive Testing of Computer Vision ModelsCode0
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image EmbeddingsCode0
Automated Audio Captioning and Language-Based Audio RetrievalCode0
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesCode0
Learning Compressed Sentence Representations for On-Device Text ProcessingCode0
An accurate retrieval through R-MAC+ descriptors for landmark recognitionCode0
Learning Complex Basis Functions for Invariant Representations of AudioCode0
Learning Contextualized Document Representations for Healthcare Answer RetrievalCode0
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image GenerationCode0
Learning compact binary descriptors with unsupervised deep neural networksCode0
Learning Character-Agnostic Motion for Motion Retargeting in 2DCode0
Learning Attractor Dynamics for Generative MemoryCode0
Cross-Modal Learning with Adversarial SamplesCode0
Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward EulerCode0
Learning a Repression Network for Precise Vehicle SearchCode0
CSCPR: Cross-Source-Context Indoor RGB-D Place RecognitionCode0
An All-MLP Sequence Modeling Architecture That Excels at CopyingCode0
Learning Audio Concepts from Counterfactual Natural LanguageCode0
Learning Compatible Multi-Prize Subnetworks for Asymmetric RetrievalCode0
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image RepresentationsCode0
Learning a metric for class-conditional KNNCode0
AMuRD: Annotated Arabic-English Receipt Dataset for Key Information Extraction and ClassificationCode0
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in VideosCode0
Learning a Hierarchical Latent-Variable Model of 3D ShapesCode0
Learned k-NN Distance EstimationCode0
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)Code0
Learnable PINs: Cross-Modal Embeddings for Person IdentityCode0
Learning a Deep Listwise Context Model for Ranking RefinementCode0
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context RetrievalCode0
Cross-modal Embeddings for Video and Audio RetrievalCode0
LCD: Learned Cross-Domain Descriptors for 2D-3D MatchingCode0
Authorship verification in the absence of explicit features and thresholdsCode0
Learning to compress and search visual data in large-scale systemsCode0
Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image RetrievalCode0
Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment RetrievalCode0
Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video SearchCode0
Latent Structured Hopfield Network for Semantic Association and RetrievalCode0
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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