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 901–925 of 9051 papers

TitleStatusHype
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level TasksCode0
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning—0
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature GenerationCode0
Enhancing Diversity for Data-free Quantization—0
Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation—0
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning—0
Keyframe-Guided Creative Video Inpainting—0
SLVR: Super-Light Visual Reconstruction via Blueprint Controllable Convolutions and Exploring Feature Diversity RepresentationCode0
Scaling up Image Segmentation across Data and Tasks—0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation—0
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI—0
Unity in Diversity: Video Editing via Gradient-Latent Purification—0
DIVE: Diversified Iterative Self-ImprovementCode0
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion—0
An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems—0
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement LearningCode0
Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs—0
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsCode2
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection—0
Linear Precoding Design for OTFS Systems in Time/Frequency Selective Fading Channels—0
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense—0
VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition—0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection—0
Show:102550
← PrevPage 37 of 363Next →

No leaderboard results yet.