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 4601–4625 of 9051 papers

TitleStatusHype
Deep Occupancy-Predictive Representations for Autonomous Driving—0
DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror—0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties—0
Deep Generative Video Compression—0
Deep Probabilistic Video Compression—0
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization—0
Deep Reinforcement Learning for Inverse Inorganic Materials Design—0
Deep Reinforcement Learning Optimized Intelligent Resource Allocation in Active RIS-Integrated TN-NTN Networks—0
Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase Diversity—0
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization—0
Deep Reinforcement Learning with Hybrid Intrinsic Reward Model—0
Deep Reinforcement Learning with Quantum-inspired Experience Replay—0
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement—0
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population—0
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective—0
Deep Sky Modeling for Single Image Outdoor Lighting Estimation—0
Deep soccer captioning with transformer: dataset, semantics-related losses, and multi-level evaluation—0
Deep Submodular Networks for Extractive Data Summarization—0
Deep Surrogate Assisted Generation of Environments—0
Deep Unsupervised Identification of Selected SNPs between Adapted Populations on Pool-seq Data—0
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection—0
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation—0
Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation—0
Defining and Counting Phonological Classes in Cross-linguistic Segment Databases—0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
Show:102550
← PrevPage 185 of 363Next →

No leaderboard results yet.