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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 5701–5750 of 9051 papers

TitleStatusHype
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement—0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—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
A COLD Approach to Generating Optimal Samples—0
Achieving Tight O(4^k) Runtime Bounds on Jump_k by Proving that Genetic Algorithms Evolve Near-Maximal Population Diversity—0
Tree balance in phylogenetic models—0
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis—0
ACO for Continuous Function Optimization: A Performance Analysis—0
α-TCVAE: On the relationship between Disentanglement and Diversity—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
MotionScript: Natural Language Descriptions for Expressive 3D Human Motions—0
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors—0
A Co-analysis Framework for Exploring Multivariate Scientific Data—0
Moving Beyond LDA: A Comparison of Unsupervised Topic Modelling Techniques for Qualitative Data Analysis of Online Communities—0
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment—0
MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy—0
Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering—0
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)—0
Tree-Structured Reinforcement Learning for Sequential Object Localization—0
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning—0
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning—0
When Do Luxury Cars Hit the Road? Findings by A Big Data Approach—0
MUCIC@LT-EDI-ACL2022: Hope Speech Detection using Data Re-Sampling and 1D Conv-LSTM—0
MUCS@LT-EDI-EACL2021:CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts—0
A Taxonomy of Adaptive Traffic Signal Control—0
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER—0
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks—0
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System—0
Multi-Agent Diagnostics for Robustness via Illuminated Diversity—0
Multi-agent query reformulation: Challenges and the role of diversity—0
Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence—0
Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning—0
When Ensembling Smaller Models is More Efficient than Single Large Models—0
Multi-Attributed and Structured Text-to-Face Synthesis—0
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels—0
Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network—0
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample—0
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification—0
Suppressing Model Overfitting for Image Super-Resolution Networks—0
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling—0
A Coalition Formation Game Approach for Personalized Federated Learning—0
Multi-dimensional data refining strategy for effective fine-tuning LLMs—0
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