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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 301–325 of 9051 papers

TitleStatusHype
Photovoltaic Defect Image Generator with Boundary Alignment Smoothing Constraint for Domain Shift Mitigation—0
This part looks alike this: identifying important parts of explained instances and prototypesCode0
Smart Starts: Accelerating Convergence through Uncommon Region ExplorationCode0
Canny2Palm: Realistic and Controllable Palmprint Generation for Large-scale Pre-training—0
Griffin: Towards a Graph-Centric Relational Database Foundation ModelCode1
Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation—0
Flow-GRPO: Training Flow Matching Models via Online RLCode7
3D Scene Generation: A SurveyCode4
Device-Free Localization Using Multi-Link MIMO Channels in Distributed Antenna Networks—0
A Large Language Model for Feasible and Diverse Population Synthesis—0
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven EvolutionCode1
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting—0
SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios—0
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning—0
Call for Action: towards the next generation of symbolic regression benchmark—0
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation—0
Modeling Musical Genre Trajectories through Pathlet LearningCode0
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language ModelsCode0
Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover—0
Token Coordinated Prompt Attention is Needed for Visual PromptingCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
Pinching Antenna-enabled ISAC Systems: Exploiting Look-Angle Dependence of RCS for Target Diversity—0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational VideosCode0
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