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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 2551–2600 of 9051 papers

TitleStatusHype
Deep Single Image Deraining using An Asymetric Cycle Generative and Adversarial Framework—0
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications—0
7 Tesla multimodal MRI dataset of ex-vivo human brain—0
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging—0
An Unscented Kalman Filter-Informed Neural Network for Vehicle Sideslip Angle Estimation—0
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation—0
CAViaR: Context Aware Video Recommendations—0
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation—0
Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning—0
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering—0
Antithetic Noise in Diffusion Models—0
Causality-based Dual-Contrastive Learning Framework for Domain Generalization—0
Adversarial Learning of Semantic Relevance in Text to Image Synthesis—0
Dropping diversity of products of large US firms: Models and measures—0
Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing—0
CausalDyna: Improving Generalization of Dyna-style Reinforcement Learning via Counterfactual-Based Data Augmentation—0
AntiBARTy Diffusion for Property Guided Antibody Design—0
Causal Conceptions of Fairness and their Consequences—0
5G Simulation-Based Experimentation Framework for Vertical Performance Assessment—0
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation—0
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model—0
Antenna Array Calibration Via Gaussian Process Models—0
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch—0
DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics—0
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators—0
Dual-Attention Graph Convolutional Network—0
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue—0
An Overview of the Research on Texture Based Plant Leaf Classification—0
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity—0
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling—0
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation—0
Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda—0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios—0
Carrier Frequency Offset Estimation for OCDM with Null Subchirps—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge—0
A Comprehensive Augmentation Framework for Anomaly Detection—0
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning—0
A novel statistical metric learning for hyperspectral image classification—0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method—0
Capturing the Production of the Innovative Ideas: An Online Social Network Experiment and "Idea Geography" Visualization—0
Adversarial Environment Design via Regret-Guided Diffusion Models—0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices—0
Capturing the diversity of biological tuning curves using generative adversarial networks—0
A Novel Multi-Objective Velocity-Free Boolean Particle Swarm Optimization—0
Capturing Bias Diversity in LLMs—0
Captioning Images Taken by People Who Are Blind—0
Distributionally-Informed Recommender System Evaluation—0
``Caption'' as a Coherence Relation: Evidence and Implications—0
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