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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 4126–4150 of 9051 papers

TitleStatusHype
Comparative Analysis of Indicators for Multiobjective Diversity Optimization—0
Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks—0
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks—0
Compacting Deep Neural Networks for Internet of Things: Methods and Applications—0
EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning—0
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues—0
Community structures in allelopathic interaction networks: an eco-evolutionary approach—0
ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing—0
Active Adversarial Domain Adaptation—0
Evaluation of Word Embeddings for the Social Sciences—0
Evaluation of Synthetic Datasets for Conversational Recommender Systems—0
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition—0
Communities as cliques—0
Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response—0
Evaluation of large-scale synthetic data for Grammar Error Correction—0
Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication—0
Evaluation of Genotypic Diversity Measurements Exploited in Real-Coded Representation—0
Evaluation of Faithfulness Using the Longest Supported Subsequence—0
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding—0
Array-Informed Waveform Design for Active Sensing: Diversity, Redundancy, and Identifiability—0
Evaluation and Comparison of Edge-Preserving Filters—0
Communicate or Sense? AP Mode Selection in mmWave Cell-Free Massive MIMO-ISAC—0
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration—0
Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?—0
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling—0
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