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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 4001–4025 of 9051 papers

TitleStatusHype
Generative AI for Physical Layer Communications: A Survey—0
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era—0
Diverse Image Annotation—0
Generative artificial intelligence enhances creativity but reduces the diversity of novel content—0
Generative Augmented Flow Networks—0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing—0
BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies—0
A new system-wide diversity measure for recommendations with efficient algorithms—0
Generative Dataset Distillation using Min-Max Diffusion Model—0
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs—0
Deep Generative Design: Integration of Topology Optimization and Generative Models—0
Generative Design through Quality-Diversity Data Synthesis and Language Models—0
Hiring as Exploration—0
Diverse Group Formation Based on Multiple Demographic Features—0
Generative manufacturing systems using diffusion models and ChatGPT—0
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates—0
Blind Motion Deblurring through SinGAN Architecture—0
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules—0
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows—0
Blind Image Super-resolution with Rich Texture-Aware Codebooks—0
A new system for evaluating brand importance: A use case from the fashion industry—0
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce—0
Diverse Exploration for Fast and Safe Policy Improvement—0
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation—0
A News Recommender System Considering Temporal Dynamics and Diversity—0
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