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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 1151–1175 of 9051 papers

TitleStatusHype
Is there a robust effect of mainland mutualism rates on species richness of oceanic islands?Code0
TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters—0
FastGrasp: Efficient Grasp Synthesis with DiffusionCode1
Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding—0
Brain-Computer Interfaces for Emotional Regulation in Patients with Various Disorders—0
The 1st Workshop on Human-Centered Recommender Systems—0
Which Channel in 6G, Low-rank or Full-rank, more needs RIS from a Perspective of DoF?—0
Open Challenges in the Formal Verification of Autonomous Driving—0
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models—0
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption—0
Out-Of-Distribution Detection with Diversification (Provably)Code0
Utilizing Large Language Models to Synthesize Product Desirability Datasets—0
Identity Preserving 3D Head Stylization with Multiview Score Distillation—0
LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models—0
Find Any Part in 3DCode2
Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology—0
Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study—0
NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language ModelsCode1
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity—0
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service—0
Higher Order Graph Attention Probabilistic Walk Networks—0
The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse WeatherCode0
Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category PreferencesCode0
Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing—0
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