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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 3376–3400 of 9051 papers

TitleStatusHype
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—0
Convergence and Diversity in the Control Hierarchy—0
Convergence analysis of OT-Flow for sample generation—0
Achieving Tight O(4^k) Runtime Bounds on Jump_k by Proving that Genetic Algorithms Evolve Near-Maximal Population Diversity—0
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization—0
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model—0
ControlMath: Controllable Data Generation Promotes Math Generalist Models—0
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density—0
A Large Language Model for Feasible and Diverse Population Synthesis—0
Controlling Character Motions without Observable Driving Source—0
Controlling biases and diversity in diverse image-to-image translation—0
α-TCVAE: On the relationship between Disentanglement and Diversity—0
Controlled Randomness Improves the Performance of Transformer Models—0
A Taxonomy of Adaptive Traffic Signal Control—0
A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment—0
Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos—0
Abstractive and mixed summarization for long-single documents—0
Evaluations at Work: Measuring the Capabilities of GenAI in Use—0
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling—0
ControlVAE: Controllable Variational Autoencoder—0
A Systematic Survey on Deep Generative Models for Graph Generation—0
A K-means-based Multi-subpopulation Particle Swarm Optimization for Neural Network Ensemble—0
Controllable Text Generation with Focused Variation—0
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control—0
A Systematic Exploration of Diversity in Machine Translation—0
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