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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

Showing 89018925 of 9051 papers

TitleStatusHype
Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation0
Testing Determinantal Point Processes0
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation0
EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling0
Testing High-dimensional Multinomials with Applications to Text Analysis0
Combining keyphrase extraction and lexical diversity to characterize ideas in publication titles0
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization0
Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization0
Generalization through Diversity: Improving Unsupervised Environment Design0
Testing macroecological theories in cryptocurrency market: neutral models can not describe diversity patterns and their variation0
Effective Dynamics of Generative Adversarial Networks0
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization0
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages0
Effective Social Chatbot Strategies for Increasing User Initiative0
Effective Transfer of Pretrained Large Visual Model for Fabric Defect Segmentation via Specifc Knowledge Injection0
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)0
Effective Visualization and Analysis of Recommender Systems0
Effect of delay on the emergent stability patterns in Generalized Lotka-Volterra ecological dynamics0
Effect of Gender Fair Job Description on Generative AI Images0
Combinatorial diversity metrics for the analysis of policy processes0
Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity0
Effects of a pestilent species on the stability of cyclically dominant species0
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation0
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