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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 1401–1425 of 9051 papers

TitleStatusHype
Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English—0
Personas with Attitudes: Controlling LLMs for Diverse Data AnnotationCode0
Encoding architecture algebra—0
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning—0
Cross-Dataset Generalization in Deep Learning—0
Hairmony: Fairness-aware hairstyle classification—0
Understanding Likelihood Over-optimisation in Direct Alignment Algorithms—0
Unveiling the Mystery of Visual Attributes of Concrete and Abstract Concepts: Variability, Nearest Neighbors, and Challenging CategoriesCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
FedCCRL: Federated Domain Generalization with Cross-Client Representation LearningCode0
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image SegmentationCode0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes—0
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion ModelsCode0
Diversity-Aware Reinforcement Learning for de novo Drug Design—0
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory PredictionCode1
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model—0
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection—0
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain NavigationCode1
Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation—0
Towards the Synthesis of Non-speech Vocalizations—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
Hybrid Training Approaches for LLMs: Leveraging Real and Synthetic Data to Enhance Model Performance in Domain-Specific Applications—0
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