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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 5476–5500 of 9051 papers

TitleStatusHype
Stylistic Retrieval-based Dialogue System with Unparallel Training Data—0
StyLitGAN: Image-Based Relighting via Latent Control—0
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation—0
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control—0
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals—0
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets—0
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints—0
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints—0
Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms—0
Subset Selection and Summarization in Sequential Data—0
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation—0
Subspace Representation Learning for Few-shot Image Classification—0
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition—0
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter—0
Sudden Death: A New Way to Compare Recommendation Diversification—0
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings—0
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder—0
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities—0
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities—0
Techniques for supercharging academic writing with generative AI—0
Superpixel-based Color Transfer—0
Superposition-Assisted Stochastic Optimization for Hawkes Processes—0
Super-resolution Reconstruction of Single Image for Latent features—0
Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification—0
Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks—0
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