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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 2601–2625 of 9051 papers

TitleStatusHype
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models—0
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation—0
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts—0
Response of Different Tomato Accessions to Biotic and Abiotic Stresses—0
Convergence analysis of OT-Flow for sample generation—0
Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions—0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble—0
Phylogenetic diversity indices from an affine and projective viewpoint—0
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance DetectionCode0
SceneX: Procedural Controllable Large-scale Scene Generation—0
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion—0
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)—0
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems—0
Universal Cold RNA Phase Transitions—0
A Nonlinear African Vulture Optimization Algorithm Combining Henon Chaotic Mapping Theory and Reverse Learning Competition Strategy—0
PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators—0
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation—0
UniTraj: A Unified Framework for Scalable Vehicle Trajectory PredictionCode3
InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content DetectionCode0
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-IdentificationCode0
ThemeStation: Generating Theme-Aware 3D Assets from Few ExemplarsCode3
Genetic diversity of barley accessions and their response under abiotic stresses using different approaches—0
Can 3D Vision-Language Models Truly Understand Natural Language?Code1
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