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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 5176–5200 of 9051 papers

TitleStatusHype
Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning—0
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types—0
What the %PCSA? Addressing Diversity in Lower-Limb Musculoskeletal Models: Age- and Sex-related Differences in PCSA and Muscle Mass—0
Avoiding an AI-imposed Taylor's Version of all music history—0
Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce—0
Leveraging Latent Representations of Speech for Indian Language Identification—0
Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications—0
Leveraging massively parallel reporter assays for evolutionary questions—0
Leveraging Medical Visual Question Answering with Supporting Facts—0
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection—0
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks—0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion—0
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models—0
Leveraging Social Media as a Source for Clinical Guidelines: A Demarcation of Experiential Knowledge—0
Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation—0
Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Collaborative Fog Computing—0
Lewontin (1972)—0
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification—0
Lexical Diversity in Kinship Across Languages and Dialects—0
Lexicographic Choice Under Variable Capacity Constraints—0
LexiCon: Lexically Constrained Review Generation via Robust Insertion—0
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding—0
A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning—0
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation—0
Life history evolution and the origin of multicellularity: differentiation of types, energy constraints, non-linear curvatures of trade-off functions—0
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