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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 4101–4125 of 9051 papers

TitleStatusHype
Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem—0
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments—0
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices—0
Evolutionary Diversity Optimisation for The Traveling Thief Problem—0
Evolutionary Demographic Algorithms—0
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes—0
Evolutionary Computation-Assisted Brainwriting for Large-Scale Online Ideation—0
Comparing Photorealism in Game Engines for Synthetic Maritime Computer Vision Datasets—0
ARTEMIS: Using GANs with Multiple Discriminators to Generate Art—0
Aggregating Correlated Estimations with (Almost) no Training—0
Active Collaborative Ensemble Tracking—0
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal—0
Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation—0
EvoGPT: Enhancing Test Suite Robustness via LLM-Based Generation and Genetic Optimization—0
EVOC: A Computer Model of the Evolution of Culture—0
Comparing Measures of Linguistic Diversity Across Social Media Language Data and Census Data at Subnational Geographic Areas—0
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture—0
EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory—0
Comparing heterogeneous visual gestures for measuring the diversity of visual speech signals—0
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation—0
Comparing and Combining Lexicase Selection and Novelty Search—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Agent-Specific Deontic Modality Detection in Legal Language—0
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision—0
Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch—0
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