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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 5651–5675 of 9051 papers

TitleStatusHype
Modeling Field-level Factor Interactions for Fashion Recommendation—0
Modeling Language Usage and Listener Engagement in Podcasts—0
Modeling Multi-granularity Segmentation for Rare Words in Neural Machine Translation—0
When does cyclic dominance lead to stable spiral waves?—0
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables—0
Modeling the Evolution of Networks as Shrinking Structural Diversity—0
Transforming Multi-Concept Attention into Video Summarization—0
Attention-based Ensemble for Deep Metric Learning—0
Modeling User Selection in Quality Diversity—0
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation—0
Transformers are Minimax Optimal Nonparametric In-Context Learners—0
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities—0
Model of human collective decision-making in complex environments—0
When does Diversity Help Generalization in Classification Ensembles?—0
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity—0
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning—0
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling—0
Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism—0
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification—0
Modified Soft Brood Crossover in Genetic Programming—0
Attacking Transformers with Feature Diversity Adversarial Perturbation—0
MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization—0
A Combined CNN and LSTM Model for Arabic Sentiment Analysis—0
Modular Networks: Learning to Decompose Neural Computation—0
Modulating Language Models with Emotions—0
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