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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 751–800 of 9051 papers

TitleStatusHype
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization—0
Trajectory World Models for Heterogeneous EnvironmentsCode1
Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement—0
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation—0
SliderSpace: Decomposing the Visual Capabilities of Diffusion ModelsCode0
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting—0
The Impact of Persona-based Political Perspectives on Hateful Content Detection—0
Multilingual State Space Models for Structured Question Answering in Indic LanguagesCode0
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework—0
Dominated Novelty Search: Rethinking Local Competition in Quality-DiversityCode0
In Pursuit of Predictive Models of Human Preferences Toward AI Teammates—0
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition—0
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations—0
Improving vision-language alignment with graph spiking hybrid Networks—0
RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domainsCode1
Language Games as the Pathway to Artificial Superhuman Intelligence—0
Diverse Preference OptimizationCode2
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations—0
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software—0
Synthetic Data Generation for Augmenting Small Samples—0
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based OptimizationCode0
Genetic Algorithm with Innovative Chromosome Patterns in the Breeding ProcessCode0
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming—0
Accelerated DC loadflow solver for topology optimization—0
Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment—0
DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM PerformanceCode0
Dynamics of Transient Structure in In-Context Linear Regression Transformers—0
General Scene Adaptation for Vision-and-Language NavigationCode2
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution SamplesCode0
Through the Prism of Culture: Evaluating LLMs' Understanding of Indian Subcultures and Traditions—0
Making Sense of Data in the Wild: Data Analysis Automation at Scale—0
Data-Efficient Machine Learning Potentials via Difference Vectors Based on Local Atomic Environments—0
Is It Navajo? Accurate Language Detection in Endangered Athabaskan LanguagesCode0
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique—0
IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding—0
BAG: Body-Aligned 3D Wearable Asset Generation—0
GiantHunter: Accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte Carlo tree searchCode0
Economic Implications of Corporate Governance and Corporate Social Responsibility: Evidence from Banks in Bangladesh—0
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment—0
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image SegmentationCode0
Visual Generation Without GuidanceCode2
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open ChallengesCode1
Search results diversification in competitive search—0
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent—0
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic ExpressionsCode0
Evaluating and Improving Graph to Text Generation with Large Language ModelsCode0
Neuronal and structural differentiation in the emergence of abstract rules in hierarchically modulated spiking neural networks—0
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images—0
Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems—0
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