SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5726–5750 of 9051 papers

TitleStatusHype
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
Show:102550
← PrevPage 230 of 363Next →

No leaderboard results yet.