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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 3401–3450 of 9051 papers

TitleStatusHype
AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario—0
A systematic dataset generation technique applied to data-driven automotive aerodynamics—0
Controllable Inversion of Black-Box Face Recognition Models via Diffusion—0
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning—0
Controllable Exploration of a Design Space via Interactive Quality Diversity—0
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting—0
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward—0
Controllable Data Augmentation for Context-Dependent Text-to-SQL—0
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation—0
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires—0
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks—0
Controllable and Diverse Text Generation in E-commerce—0
Asynch-SGBDT: Asynchronous Parallel Stochastic Gradient Boosting Decision Tree based on Parameters Server—0
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation—0
AIRIS2 : a Smart Gateway Diversity Algorithm for Very High-Throughput Satellite Systems—0
Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems—0
Contribution à l'Optimisation d'un Comportement Collectif pour un Groupe de Robots Autonomes—0
Asymptotic analysis of V-BLAST MIMO for coherent optical wireless communications in Gamma-Gamma turbulence—0
Contribuição do ecoturismo para o uso sustentável dos recursos hídricos do município de Rondonópolis-MT—0
Asymmetric Image Retrieval with Cross Model Compatible Ensembles—0
Active Simultaneously Transmitting and Reflecting (STAR)-RISs: Modelling and Analysis—0
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information—0
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning—0
A Swiss German Dictionary: Variation in Speech and Writing—0
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect—0
Contrastive Learning from Synthetic Audio Doppelgängers—0
Contrastive Learning for Diverse Disentangled Foreground Generation—0
A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions—0
AI in Support of Diversity and Inclusion—0
Active Learning with Tabular Language Models—0
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification—0
A Survey on Self-Evolution of Large Language Models—0
Contrastive Examples for Addressing the Tyranny of the Majority—0
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality—0
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems—0
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization—0
Continuous Inference in Graphical Models with Polynomial Energies—0
A Survey on Backbones for Deep Video Action Recognition—0
Continual Speaker Adaptation for Text-to-Speech Synthesis—0
A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions—0
AI Fairness for People with Disabilities: Point of View—0
Active Learning Principles for In-Context Learning with Large Language Models—0
Continual Semantic Segmentation with Automatic Memory Sample Selection—0
Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images—0
A survey of part-of-speech tagging approaches applied to K’iche’—0
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
Contextual Distillation Model for Diversified Recommendation—0
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