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 2401–2425 of 9051 papers

TitleStatusHype
Scaling up Image Segmentation across Data and Tasks—0
Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation—0
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature GenerationCode0
An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning—0
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement LearningCode0
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning—0
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Unity in Diversity: Video Editing via Gradient-Latent Purification—0
Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs—0
Linear Precoding Design for OTFS Systems in Time/Frequency Selective Fading Channels—0
VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition—0
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection—0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection—0
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense—0
PQD: Post-training Quantization for Efficient Diffusion Models—0
Enhancing Annotated Bibliography Generation with LLM Ensembles—0
QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced EvolutionCode0
Intrinsic meaning, perception, and matching—0
Exploring and Controlling Diversity in LLM-Agent Conversation—0
The Synergy of Automated Pipelines with Prompt Engineering and Generative AI in Web Crawling—0
Revealing the Shape of Genome Space via K-mer TopologyCode0
Show:102550
← PrevPage 97 of 363Next →

No leaderboard results yet.