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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 5026–5050 of 9051 papers

TitleStatusHype
Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video FramesCode1
Bengali Common Voice Speech Dataset for Automatic Speech Recognition—0
Multifamily Malware Models—0
A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger designCode0
Modeling Content Creator Incentives on Algorithm-Curated Platforms—0
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational ReasoningCode1
Transfer learning for ensembles: reducing computation time and keeping the diversity—0
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph CaptioningCode1
The Promise of Cross-Species Coexpression Analysis in Studying the Coevolution and Ecology of Host-Symbiont Interactions—0
p-Meta: Towards On-device Deep Model Adaptation—0
PSP: Million-level Protein Sequence Dataset for Protein Structure PredictionCode0
Unified BERT for Few-shot Natural Language Understanding—0
Patient Aware Active Learning for Fine-Grained OCT Classification—0
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems—0
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning—0
LED: Latent Variable-based Estimation of Density—0
Optical Field Recovery in Jones Space—0
The Influence of Local Search over Genetic Algorithms with Balanced Representations—0
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeCode2
Generating Diverse Indoor Furniture Arrangements—0
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem—0
Diversified Adversarial Attacks based on Conjugate Gradient MethodCode1
Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response—0
Knowledge Learning with Crowdsourcing: A Brief Review and Systematic Perspective—0
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized ImagesCode1
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