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 3201–3250 of 9051 papers

TitleStatusHype
Exponential Natural Particle Filter—0
Enhancing weed detection performance by means of GenAI-based image augmentation—0
Invariance Principle Meets Vicinal Risk Minimization—0
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving—0
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features—0
StyLitGAN: Prompting StyleGAN to Produce New Illumination Conditions—0
Diversity and coevolutionary dynamics in high-dimensional phenotype spaces—0
Enrich the content of the image Using Context-Aware Copy Paste—0
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models—0
Ensemble-based Adversarial Defense Using Diversified Distance Mapping—0
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
Co-existence of Micro, Pico and Atto Cells in Optical Wireless Communication—0
Diversity and bias in audio captioning datasets—0
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms—0
Ensemble Federated Adversarial Training with Non-IID data—0
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes—0
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction—0
Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble—0
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection—0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—0
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels—0
Ensemble of Part Detectors for Simultaneous Classification and Localization—0
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition—0
Diversity Analysis for Indoor Terahertz Communication Systems under Small-Scale Fading—0
Ensemble prosody prediction for expressive speech synthesis—0
Ensemble pruning via an integer programming approach with diversity constraints—0
Ensemble Pruning via Margin Maximization—0
Bregman Centroid Guided Cross-Entropy Method—0
3D Neural Field Generation using Triplane Diffusion—0
Ensembles of GANs for synthetic training data generation—0
Coherent Visual Storytelling via Parallel Top-Down Visual and Topic Attention—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting—0
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence—0
Ensembles of Random SHAPs—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems—0
An investigation into language complexity of World-of-Warcraft game-external texts—0
Ensemble Squared: A Meta AutoML System—0
Ensembling Sparse Autoencoders—0
Co-Learning Bayesian Optimization—0
Entailment-Preserving First-order Logic Representations in Natural Language Entailment—0
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks—0
Breaking the mold: The challenge of large scale MARL specialization—0
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity—0
Entropy and Diversity: The Axiomatic Approach—0
Advanced Framework for Animal Sound Classification With Features Optimization—0
Show:102550
← PrevPage 65 of 182Next →

No leaderboard results yet.