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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 976–1000 of 9051 papers

TitleStatusHype
Moving Beyond LDA: A Comparison of Unsupervised Topic Modelling Techniques for Qualitative Data Analysis of Online Communities—0
Fast inverse lithography based on a model-driven block stacking convolutional neural network—0
Active Inference and Human--Computer Interaction—0
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps—0
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning—0
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMsCode1
Progressive Multimodal Reasoning via Active Retrieval—0
Inferring protein folding mechanisms from natural sequence diversity—0
Uncertainty Awareness in Wireless Communications and Sensing—0
Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation—0
Embedding Cultural Diversity in Prototype-based Recommender Systems—0
Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint MapsCode1
Generating Diverse Hypotheses for Inductive Reasoning—0
AnySat: One Earth Observation Model for Many Resolutions, Scales, and ModalitiesCode2
A Unifying Information-theoretic Perspective on Evaluating Generative Models—0
Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules—0
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model—0
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island CoevolutionCode0
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation—0
Guiding Generative Protein Language Models with Reinforcement LearningCode2
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case StudyCode0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
Towards Effective Graph Rationalization via Boosting Environment Diversity—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Personalized LLM for Generating Customized Responses to the Same Query from Different UsersCode0
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