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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 6926–6950 of 9051 papers

TitleStatusHype
Multi-Domain Targeted Sentiment Analysis—0
Multi-factor Sequential Re-ranking with Perception-Aware Diversification—0
Multifamily Malware Models—0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping—0
Multi-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 2—0
Multi-Head Attention with Disagreement Regularization—0
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations—0
Multi-headed Neural Ensemble Search—0
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification—0
Multi-intent Aware Contrastive Learning for Sequential Recommendation—0
Multi-Label Active Learning from Crowds—0
Multilabel Classification through Random Graph Ensembles—0
Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection—0
Multi-level Latent Space Structuring for Generative Control—0
Multilingual CheckList: Generation and Evaluation—0
Multilingual Diversity Improves Vision-Language Representations—0
Multilingual Pragmaticon: Database of Discourse Formulae—0
Multilingual Prompting for Improving LLM Generation Diversity—0
Multilingual Topic Classification in X: Dataset and Analysis—0
Multilingual Whispers: Generating Paraphrases with Translation—0
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization—0
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction—0
Multimodal Alignment and Fusion: A Survey—0
Multimodal Color Recommendation in Vector Graphic Documents—0
Multimodal Conditional Image Synthesis with Product-of-Experts GANs—0
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