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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

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Showing 101–150 of 524 papers

TitleStatusHype
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks—0
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration—0
Knowledge Graph Guided Evaluation of Abstention Techniques—0
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation—0
Effect of Correlated Building Blockages on the Ergodic Capacity of mmWave Systems in Urban Scenarios—0
Analysis of Blocking in mmWave Cellular Systems: Characterization of the LOS and NLOS Intervals in Urban Scenarios—0
Avoiding Deadlocks Is Not Enough: Analysis and Resolution of Blocked Airplanes—0
Leveraging large language models for efficient representation learning for entity resolution—0
Block based Adaptive Compressive Sensing with Sampling Rate Control—0
LOS/NLOS Estimators for mmWave Cellular Systems With Blockages—0
Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs—0
ALISE: Accelerating Large Language Model Serving with Speculative Scheduling—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random NetworksCode0
Towards Effective Planning Strategies for Dynamic Opinion NetworksCode0
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment—0
Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures—0
On Calibration of LLM-based Guard Models for Reliable Content ModerationCode0
Degrees of Freedom of Holographic MIMO in Multi-user Near-field Channels—0
Don't Stop Me Now: Embedding Based Scheduling for LLMs—0
Medha: Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations—0
Evaluating Blocking Biases in Entity MatchingCode0
PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference—0
FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images—0
An innovation-based cycle-slip, multipath estimation, detection and mitigation method for tightly coupled GNSS/INS/Vision navigation in urban areas—0
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval BiasCode0
A Novel Signal Detection Method for Photon-Counting Communications with Nonlinear Distortion Effects—0
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle ManeuverCode0
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning—0
Unidirectional imaging with partially coherent light—0
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks—0
A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Innovative RIS Prototyping Enhancing Wireless Communication with Real-Time Spot Beam Tracking and OAM Wavefront Manipulation—0
Capturing the security expert knowledge in feature selection for web application attack detection—0
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky SocialCode0
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer—0
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning—0
LearnedKV: Integrating LSM and Learned Index for Superior Performance on Storage—0
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management—0
OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization—0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—0
Astrocytic NMDA Receptors Modulate the Dynamics of Continuous Attractors—0
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?Code0
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm—0
SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing—0
Single Trajectory Conformal Prediction—0
R-ODE: Ricci Curvature Tells When You Will be Informed—0
Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker PlacementCode0
SINBAD: Saliency-informed detection of breakage caused by ad blockingCode0
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