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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 2776–2800 of 9051 papers

TitleStatusHype
Fair Summarization: Bridging Quality and Diversity in Extractive SummariesCode0
Batch Active Learning Using Determinantal Point ProcessesCode0
FairER: Entity Resolution with Fairness ConstraintsCode0
Fair and Diverse DPP-based Data SummarizationCode0
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement LearningCode0
Batch Active Learning at ScaleCode0
Hypergraph Clustering for Finding Diverse and Experienced GroupsCode0
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy MethodsCode0
Facilitating bootstrapped and rarefaction-based microbiome diversity analysis with q2-bootsCode0
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness RewardCode0
Meta-Learning an Evolvable Developmental EncodingCode0
Can Generative Models Improve Self-Supervised Representation Learning?Code0
Analysing domain shift factors between videos and images for object detectionCode0
Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic EmbeddingsCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related QueriesCode0
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text GenerationCode0
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachCode0
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code GenerationCode0
Deep Reinforcement Learning for Dialogue GenerationCode0
MIGS: Meta Image Generation from Scene GraphsCode0
MINT -- Mainstream and Independent News Text CorpusCode0
Mind the GAP: A Balanced Corpus of Gendered Ambiguous PronounsCode0
Deep Reinforcement Learning-based Exploration of Web ApplicationsCode0
Barrier-Free Microhabitats: Self-Organized Seclusion in Microbial CommunitiesCode0
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