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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 2251–2275 of 9051 papers

TitleStatusHype
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
Hunting for Polluted White Dwarfs and Other Treasures with Gaia XP Spectra and Unsupervised Machine Learning—0
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative WarpingCode3
Multilingual Diversity Improves Vision-Language Representations—0
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy PredictionCode4
Benchmarking General-Purpose In-Context Learning—0
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling—0
Aperture Selection for CAP Arrays (CAPAs)—0
Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse GranularityCode1
Enhancing Feature Diversity Boosts Channel-Adaptive Vision TransformersCode0
Fair Federated Learning under Domain Skew with Local Consistency and Domain DiversityCode1
Pessimistic Backward Policy for GFlowNetsCode0
Graph Neural PDE Solvers with Conservation and Similarity-EquivarianceCode1
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time SeriesCode1
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign UsersCode1
Diffusion Bridge Implicit ModelsCode2
Quality-aware Masked Diffusion Transformer for Enhanced Music GenerationCode4
Out of Many, One: Designing and Scaffolding Proteins at the Scale of the Structural Universe with Genie 2Code2
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
Randomized heuristic repair for large-scale multidimensional knapsack problem—0
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks—0
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
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