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 2526–2550 of 14297 papers

TitleStatusHype
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation LearningCode1
Embedding-based Retrieval in Facebook SearchCode1
Neural Topic Modeling with Continual Lifelong LearningCode1
Compositional Learning of Image-Text Query for Image RetrievalCode1
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet LossCode1
AVLnet: Learning Audio-Visual Language Representations from Instructional VideosCode1
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep LearningCode1
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant WeightsCode1
Large-Scale Adversarial Training for Vision-and-Language Representation LearningCode1
Self-Supervised Relational Reasoning for Representation LearningCode1
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social MediaCode1
Retrieval-Augmented Generation for Code Summarization via Hybrid GNNCode1
Neural Methods for Point-wise Dependency EstimationCode1
Few-Shot Generative Conversational Query RewritingCode1
Self-supervising Fine-grained Region Similarities for Large-scale Image LocalizationCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-trainingCode1
REL: An Entity Linker Standing on the Shoulders of GiantsCode1
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image RetrievalCode1
View-GCN: View-Based Graph Convolutional Network for 3D Shape AnalysisCode1
Evade Deep Image Retrieval by Stashing Private Images in the Hash SpaceCode1
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and RetrievalCode1
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation LearningCode1
Automatic Generation of Topic LabelsCode1
User Behavior Retrieval for Click-Through Rate PredictionCode1
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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