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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 6851–6900 of 9051 papers

TitleStatusHype
MODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations—0
Model Compression with Generative Adversarial Networks—0
Modeling cell differentiation in neuroblastoma: insights into development, malignancy, and treatment relapse—0
Modeling competitive evolution of multiple languages—0
Modeling Content Creator Incentives on Algorithm-Curated Platforms—0
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding—0
Modeling Cultural Dynamics—0
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder—0
Modeling Field-level Factor Interactions for Fashion Recommendation—0
Modeling Language Usage and Listener Engagement in Podcasts—0
Modeling Multi-granularity Segmentation for Rare Words in Neural Machine Translation—0
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables—0
Modeling the Evolution of Networks as Shrinking Structural Diversity—0
Modeling User Selection in Quality Diversity—0
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities—0
Model of human collective decision-making in complex environments—0
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity—0
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling—0
Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism—0
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification—0
Modified Soft Brood Crossover in Genetic Programming—0
MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization—0
Modular Networks: Learning to Decompose Neural Computation—0
Modulating Language Models with Emotions—0
Modulating transfer between tasks in gradient-based meta-learning—0
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems—0
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers—0
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis—0
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning—0
Molecular Diversity and Network Complexity in Growing Protocells—0
Molecular Structure Extraction From Documents Using Deep Learning—0
Molecule Optimization by Explainable Evolution—0
MoMa: A Modular Deep Learning Framework for Material Property Prediction—0
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision—0
MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection—0
Monopoly agenda control with privately informed voters—0
Monotonic Robust Policy Optimization with Model Discrepancy—0
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC—0
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement—0
More Diverse Dialogue Datasets via Diversity-Informed Data Collection—0
More diverse more adaptive: Comprehensive Multi-task Learning for Improved LLM Domain Adaptation in E-commerce—0
More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking—0
Morphological Segmentation for Low Resource Languages—0
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis—0
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures—0
Motion-Conditioned Diffusion Model for Controllable Video Synthesis—0
Motion Diversification Networks—0
Motion Modes: What Could Happen Next?—0
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