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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 5851–5875 of 9051 papers

TitleStatusHype
Turbo-ICL: In-Context Learning-Based Turbo Equalization—0
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems—0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification—0
Multi-Source Cross-Lingual Constituency Parsing—0
Multi-source Data Mining for e-Learning—0
Turbo-Sim: a generalised generative model with a physical latent space—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
Multi-speaker Multi-style Text-to-speech Synthesis With Single-speaker Single-style Training Data Scenarios—0
A Survey of Constraint Formulations in Safe Reinforcement Learning—0
Turning the Tide: Repository-based Code Reflection—0
Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication—0
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance—0
Multi-Task Determinantal Point Processes for Recommendation—0
Multi-task Learning-based Joint CSI Prediction and Predictive Transmitter Selection for Security—0
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography—0
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems—0
Optimizing accuracy and diversity: a multi-task approach to forecast combinations—0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases—0
Multi-Task Multi-Behavior MAP-Elites—0
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching—0
Multi-Task Reinforcement Learning Enables Parameter Scaling—0
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning—0
Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models—0
When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization—0
Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer—0
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