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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 5951–6000 of 9051 papers

TitleStatusHype
Deep Single Image Deraining using An Asymetric Cycle Generative and Adversarial Framework—0
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)—0
Study of Feature Importance for Quantum Machine Learning Models—0
Towards Simple and Accurate Human Pose Estimation with Stair Network—0
On the ideas of the origin of eukaryotes: a critical review—0
3D-Aware Indoor Scene Synthesis with Depth Priors—0
Point Cloud Generation with Continuous Conditioning—0
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity—0
Total consensus under high reproductive-variance conditions—0
Deep Ensembles Work, But Are They Necessary?Code0
Data standardization for robust lip sync—0
Privacy protection based on mask template—0
PQuAD: A Persian Question Answering Dataset—0
Distribution augmentation for low-resource expressive text-to-speech—0
Multi-level Latent Space Structuring for Generative Control—0
Fast Rates in Pool-Based Batch Active Learning—0
Deep soccer captioning with transformer: dataset, semantics-related losses, and multi-level evaluation—0
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning—0
Consistency and Diversity induced Human Motion Segmentation—0
Techtile -- Open 6G R&D Testbed for Communication, Positioning, Sensing, WPT and Federated Learning—0
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis—0
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery—0
Building Synthetic Speaker Profiles in Text-to-Speech Systems—0
Multi-Objective Quality Diversity OptimizationCode0
Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes—0
MAML and ANIL Provably Learn Representations—0
A Coalition Formation Game Approach for Personalized Federated Learning—0
Non-Coherent MIMO-OFDM Uplink empowered by the Spatial Diversity in Reflecting Surfaces—0
Quality-diversity for aesthetic evolution—0
Exploring the Feature Space of TSP Instances Using Quality Diversity—0
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer—0
Spatial Diversity in Radar Detection via Active Reconfigurable Intelligent Surfaces—0
Privacy-Aware Crowd Labelling for Machine Learning Tasks—0
Improving Screening Processes via Calibrated Subset SelectionCode0
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness—0
Learning Collective Action under Risk Diversity—0
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers—0
Does Transliteration Help Multilingual Language Modeling?Code0
Outage performance analysis of RIS-assisted UAV wireless systems under disorientation and misalignment—0
The Effect of Diversity in Meta-LearningCode0
Low-Complexity Linear Diversity-Combining Detector for MIMO-OTFS—0
Exploring Global Diversity and Local Context for Video Summarization—0
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks—0
Improving robustness and calibration in ensembles with diversity regularization—0
TrustAL: Trustworthy Active Learning using Knowledge Distillation—0
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification—0
Diversity Enhancement via Magnitude—0
Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson ProblemCode0
Diversity in the Music Listening Experience: Insights from Focus Group Interviews—0
Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images—0
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