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 11651–11700 of 14297 papers

TitleStatusHype
Self-Supervised Contrastive Learning for Robust Audio-Sheet Music Retrieval Systems—0
Probabilistic Latent Semantic Analysis (PLSA) untuk Klasifikasi Dokumen Teks Berbahasa Indonesia—0
Self-Supervised Cross-Modal Text-Image Time Series Retrieval in Remote Sensing—0
Probabilistic classifiers with low rank indefinite kernels—0
Probabilistic Blocking with An Application to the Syrian Conflict—0
Self-supervised Enhancement of Latent Discovery in GANs—0
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences—0
Self-supervised Graph Neural Network for Mechanical CAD Retrieval—0
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays—0
XTREME-S: Evaluating Cross-lingual Speech Representations—0
Learning Music-Dance Representations through Explicit-Implicit Rhythm Synchronization—0
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos—0
Self-supervised learning of visual features through embedding images into text topic spaces—0
Self-supervised Modal and View Invariant Feature Learning—0
Probabilistic Analogical Mapping with Semantic Relation Networks—0
Self-Supervised Modality-Invariant and Modality-Specific Feature Learning for 3D Objects—0
Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring—0
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections—0
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations—0
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles—0
XWalk: Random Walk Based Candidate Retrieval for Product Search—0
Self-Supervised Ranking for Representation Learning—0
PRJ: Perception-Retrieval-Judgement for Generated Images—0
Self-Supervised Similarity Learning for Digital Pathology—0
On the Fundamental Limits of Cache-aided Multiuser Private Information Retrieval—0
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction—0
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity—0
Self-supervised Temporal Learning—0
Self-supervised Training Sample Difficulty Balancing for Local Descriptor Learning—0
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges—0
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder—0
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences—0
Private Linear Transformation: The Joint Privacy Case—0
Private Information Retrieval from MDS Coded Data with Colluding Servers: Settling a Conjecture by Freij-Hollanti et al.—0
Private Counterfactual Retrieval With Immutable Features—0
VISA: Retrieval Augmented Generation with Visual Source Attribution—0
Private Counterfactual Retrieval—0
Self-Supervised Video Representation Learning with Meta-Contrastive Network—0
Self-Supervised Video Representation Learning by Video Incoherence Detection—0
Self-supervised Video Retrieval Transformer Network—0
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy—0
Self-Supervised Vision Transformers for Writer Retrieval—0
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation—0
Self-supervised Visual Attribute Learning for Fashion Compatibility—0
Self-Supervised Visual Representations for Cross-Modal Retrieval—0
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models—0
Self-Weighted Multiview Metric Learning by Maximizing the Cross Correlations—0
Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains—0
Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval—0
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding—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