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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 7101–7150 of 9051 papers

TitleStatusHype
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
Rethinking the Evaluation of Unbiased Scene Graph Generation—0
UserBoost: Generating User-specific Synthetic Data for Faster Enrolment into Behavioural Biometric Systems—0
User Clustering for Rate Splitting using Machine Learning—0
AAMDM: Accelerated Auto-regressive Motion Diffusion Model—0
Rethinking Video Salient Object Ranking—0
Retinal Vessel Segmentation via Neuron Programming—0
Retinotopy Inspired Brain Encoding Model and the All-for-One Training Recipe—0
Retrievability in an Integrated Retrieval System: An Extended Study—0
A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality—0
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies—0
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies—0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
Retrieval-guided Counterfactual Generation for QA—0
Retrieval-guided Counterfactual Generation for QA—0
Retrieval-guided Cross-view Image Synthesis—0
RetriBooru: Leakage-Free Retrieval of Conditions from Reference Images for Subject-Driven Generation—0
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
Retrieving Implicit and Explicit Emotional Events Using Large Language Models—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students—0
User-Creator Feature Polarization in Recommender Systems with Dual Influence—0
ReverseORC: Reverse Engineering of Resizable User Interface Layouts with OR-Constraints—0
Review of Clustering-Based Recommender Systems—0
Review of research on fireworks algorithm—0
Review on the Existing Language Resources for Languages of France—0
An Approach to the Analysis of the South Slavic Medieval Labels Using Image Texture—0
User Fairness in Recommender Systems—0
An Approach for Self-Training Audio Event Detectors Using Web Data—0
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems—0
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness—0
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation—0
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning—0
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer—0
An analytically tractable model for community ecology with many species—0
Revolutionising Bacterial Genomics: Graph-Based Strategies for Improved Variant Identification—0
Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation—0
An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization—0
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation—0
An Analysis of Phenotypic Diversity in Multi-Solution Optimization—0
Rigorous Evaluation of Predictive Toxicity Models by Multi-Objective Optimization of Reference Compound Lists Using Genetic Algorithms—0
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax—0
An Analysis of Generative Methods for Multiple Image Inpainting—0
Ring Migration Topology Helps Bypassing Local Optima—0
RIS-Aided Dual-Polarized MIMO: How Large a Surface is Needed to Beat Single Polarization?—0
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices—0
RIS-Assisted D2D Communication in the Presence of Interference: Outage Performance Analysis and DNN-Based Prediction—0
RIS-Assisted High Resolution Radar Sensing—0
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow—0
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