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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 3751–3775 of 9051 papers

TitleStatusHype
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
Rumor Detection with Diverse Counterfactual EvidenceCode1
Towards Task Sampler Learning for Meta-LearningCode1
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML—0
Unbiased Image Synthesis via Manifold Guidance in Diffusion Models—0
Towards Viewpoint-Invariant Visual Recognition via Adversarial TrainingCode1
Generative Meta-Learning Robust Quality-Diversity PortfolioCode1
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem—0
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax—0
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium PhysicsCode0
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image ModelsCode1
Leveraging Contextual Counterfactuals Toward Belief Calibration—0
Self-regulating Prompts: Foundational Model Adaptation without ForgettingCode2
Neutral Diversity in Experimental Metapopulations—0
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation—0
Rethinking Mitosis Detection: Towards Diverse Data and Feature RepresentationCode0
Neural Machine Translation Data Generation and Augmentation using ChatGPT—0
Transaction Fraud Detection via an Adaptive Graph Neural Network—0
Objaverse-XL: A Universe of 10M+ 3D ObjectsCode3
Benchmarking Algorithms for Federated Domain GeneralizationCode1
Entity Identifier: A Natural Text Parsing-based Framework For Entity Relation Extraction—0
Fatal errors and misuse of mathematics in the Hong-Page Theorem and Landemore's epistemic argument—0
Fairness and Diversity in Recommender Systems: A SurveyCode0
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