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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 301–350 of 9051 papers

TitleStatusHype
Photovoltaic Defect Image Generator with Boundary Alignment Smoothing Constraint for Domain Shift Mitigation—0
Smart Starts: Accelerating Convergence through Uncommon Region ExplorationCode0
This part looks alike this: identifying important parts of explained instances and prototypesCode0
Griffin: Towards a Graph-Centric Relational Database Foundation ModelCode1
Canny2Palm: Realistic and Controllable Palmprint Generation for Large-scale Pre-training—0
3D Scene Generation: A SurveyCode4
Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation—0
Flow-GRPO: Training Flow Matching Models via Online RLCode7
Device-Free Localization Using Multi-Link MIMO Channels in Distributed Antenna Networks—0
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios—0
Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting—0
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven EvolutionCode1
A Large Language Model for Feasible and Diverse Population Synthesis—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
Fluctuating growth rates link turnover and unevenness in species-rich communities—0
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models—0
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation—0
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis—0
Adapting Precomputed Features for Efficient Graph CondensationCode1
Rethinking Time Encoding via Learnable Transformation FunctionsCode0
Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring—0
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction—0
JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry—0
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts—0
Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured RepresentationsCode0
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning—0
Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models—0
FedAvgen: Metadata for Model Aggregation In Communication Systems—0
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets—0
Hierarchical Uncertainty-Aware Graph Neural Network—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe GenerationCode0
Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender?—0
Offline Learning of Controllable Diverse Behaviors—0
PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts—0
Targeted AMP generation through controlled diffusion with efficient embeddings—0
Robo-Troj: Attacking LLM-based Task Planners—0
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