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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 11201–11250 of 14297 papers

TitleStatusHype
Use What You Have: Video Retrieval Using Representations From Collaborative ExpertsCode1
Finding Moments in Video Collections Using Natural LanguageCode1
Pay attention to the activations: a modular attention mechanism for fine-grained image recognitionCode0
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the BibleCode0
Deep Retrieval-Based Dialogue Systems: A Short Review—0
Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning—0
Text-to-SQL Generation for Question Answering on Electronic Medical RecordsCode0
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling—0
AiAds: Automated and Intelligent Advertising System for Sponsored Search—0
Amplitude Retrieval for Channel Estimation of MIMO Systems with One-Bit ADCs—0
A Benchmark on Tricks for Large-scale Image Retrieval—0
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval—0
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts—0
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction—0
Learning Visual Actions Using Multiple Verb-Only LabelsCode0
Modelling Dynamic Interactions between Relevance Dimensions—0
Composition-Aware Image Aesthetics Assessment—0
Careful Selection of Knowledge to solve Open Book Question Answering—0
Bilingual Lexicon Induction through Unsupervised Machine TranslationCode0
Fine-Grained Sentence Functions for Short-Text Conversation—0
Multisensory Learning Framework for Robot Drumming—0
Overview and Results: CL-SciSumm Shared Task 2019Code0
Stochastic algorithms with geometric step decay converge linearly on sharp functionsCode0
Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery PredictionCode0
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents—0
Evaluation of Distance Measures for Feature based Image Registration using AlexNet—0
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval—0
Greedy Optimized Multileaving for PersonalizationCode0
OCC: A Smart Reply System for Efficient In-App Communications—0
Holographic Factorization Machines for Recommendation—0
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning—0
Deep Metric Learning with Alternating Projections onto Feasible Sets—0
A study on the Interpretability of Neural Retrieval Models using DeepSHAP—0
A Neural Turing~Machine for Conditional Transition Graph Modeling—0
Asking Clarifying Questions in Open-Domain Information-Seeking ConversationsCode0
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval—0
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregationCode0
High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query CompatibilityCode1
Learning Complex Basis Functions for Invariant Representations of AudioCode0
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval—0
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN—0
Proceedings of FACTS-IR 2019—0
Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval—0
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk—0
Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems—0
A New Benchmark and Approach for Fine-grained Cross-media RetrievalCode0
Neural Input Search for Large Scale Recommendation Models—0
ReQA: An Evaluation for End-to-End Answer Retrieval ModelsCode0
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects—0
Multilingual Universal Sentence Encoder for Semantic Retrieval—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