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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 7551–7600 of 9051 papers

TitleStatusHype
A Holistic Evaluation of Piano Sound Quality—0
A high fidelity synthetic face framework for computer vision—0
Variational Topic Inference for Chest X-Ray Report Generation—0
Site Diversity in Downlink Optical Satellite Networks Through Ground Station Selection—0
Site-specific recombinatorics: in situ cellular barcoding with the Cre Lox system—0
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection—0
Situation-Specific Multimodal Feature Adaptation—0
SizeGAN: Improving Size Representation in Clothing Catalogs—0
SJTU-TMQA: A quality assessment database for static mesh with texture map—0
A high-accuracy multi-model mixing retrosynthetic method—0
Workforce pDEI: Productivity Coupled with DEI—0
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction—0
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs—0
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions—0
Skill Discovery of Coordination in Multi-agent Reinforcement Learning—0
A hierarchical fusion framework integrating random projection-based classifiers: application in head and neck squamous carcinoma cancer—0
Variational Transformer Networks for Layout Generation—0
Skip-Layer Attention: Bridging Abstract and Detailed Dependencies in Transformers—0
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding—0
5G Simulation-Based Experimentation Framework for Vertical Performance Assessment—0
Sliding Spectrum Decomposition for Diversified Recommendation—0
SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text—0
Slow and Fast Neurons Cooperate in Contextual Working Memory through Timescale Diversity—0
A guide through a family of phylogenetic dissimilarity measures among sites—0
SLURG: Investigating the Feasibility of Generating Synthetic Online Fallacious Discourse—0
Variation-Aware Semantic Image Synthesis—0
SM^3: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects—0
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling—0
Smartphone Multi-modal Biometric Authentication: Database and Evaluation—0
Smart Reply: Automated Response Suggestion for Email—0
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
5G framework concepts for the next generation networks—0
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Variations on Memetic Algorithms for Graph Coloring Problems—0
Agricultural Economics and Innovation in the Inca Empire—0
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training—0
SMT(LIA) Sampling with High Diversity—0
Snapshot Difference Imaging using Time-of-Flight Sensors—0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
A graphical framework to detect and categorize diverse opinions from online news—0
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data—0
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement—0
SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments—0
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
Social and Semantic Diversity: Socio-semantic Representation of a Scientific Corpus—0
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems—0
Social diversity and social preferences in mixed-motive reinforcement learning—0
Social diversity for reducing the impact of information cascades on social learning—0
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