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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 3801–3825 of 9051 papers

TitleStatusHype
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-IdentificationCode0
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators—0
A Nonlinear African Vulture Optimization Algorithm Combining Henon Chaotic Mapping Theory and Reverse Learning Competition Strategy—0
Universal Cold RNA Phase Transitions—0
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems—0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
A reinforcement learning guided hybrid evolutionary algorithm for the latency location routing problemCode0
Protected group bias and stereotypes in Large Language Models—0
EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling—0
M^3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset—0
Genetic diversity of barley accessions and their response under abiotic stresses using different approaches—0
Improving the Robustness of Large Language Models via Consistency Alignment—0
An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization—0
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models—0
EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation—0
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques—0
The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training—0
Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation—0
Progressive trajectory matching for medical dataset distillation—0
Technical Report: Competition Solution For BetterMixture—0
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal DataCode0
Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization—0
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers—0
Wav2Gloss: Generating Interlinear Glossed Text from SpeechCode0
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making—0
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