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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 3451–3500 of 9051 papers

TitleStatusHype
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces—0
Active Learning on Synthons for Molecular Design—0
Context-Enhanced Detector For Building Detection From Remote Sensing Images—0
Context-Dependent Diffusion Network for Visual Relationship Detection—0
A Survey of Constraint Formulations in Safe Reinforcement Learning—0
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning—0
Artificial Intelligence Development Races in Heterogeneous Settings—0
Context-aware Domain Adaptation for Time Series Anomaly Detection—0
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
Content-Diverse Comparisons improve IQA—0
A study of quality and diversity in K+1 GANs—0
AIDE: Task-Specific Fine Tuning with Attribute Guided Multi-Hop Data Expansion—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
Construction of Responsive Utterance Corpus for Attentive Listening Response Production—0
A study of conceptual language similarity: comparison and evaluation—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning—0
AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations—0
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge—0
Constructing a meta-learner for unsupervised anomaly detection—0
A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data—0
Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks—0
Constraint-based Diversification of JOP Gadgets—0
Assessment of Practical Smart Gateway Diversity Based on Multi-Site Measurements in Q/V band—0
AID++: An Updated Version of AID on Scene Classification—0
Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation—0
Abnormal Event Detection In Videos Using Deep Embedding—0
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code—0
Embracing Diversity: A Multi-Perspective Approach with Soft Labels—0
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks—0
Constrained Pseudo-market Equilibrium—0
Constrained Interacting Submodular Groupings—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
Consistent Multiple Sequence Decoding—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
AI Competitions and Benchmarks: Competition platforms—0
Consistent Flow Distillation for Text-to-3D Generation—0
Consistency and Diversity induced Human Motion Segmentation—0
Assessing the Coherence Modeling Capabilities of Pretrained Transformer-based Language Models—0
AIBench Scenario: Scenario-distilling AI Benchmarking—0
Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population—0
Considerations for Ethical Speech Recognition Datasets—0
Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?—0
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis—0
Conservative Exploration using Interleaving—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems—0
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