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 2551–2575 of 9051 papers

TitleStatusHype
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs—0
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models—0
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
Communicate or Sense? AP Mode Selection in mmWave Cell-Free Massive MIMO-ISAC—0
Sample Efficient Robot Learning in Supervised Effect Prediction Tasks—0
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems—0
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation—0
Stochastic modeling of cyclic cancer treatments under common noise—0
A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems—0
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent BranchingCode0
Semantic Scene Completion with Multi-Feature Data Balancing Network—0
SEAL: Semantic Attention Learning for Long Video Representation—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
Rectified Flow For Structure Based Drug Design—0
InfinityDrive: Breaking Time Limits in Driving World Models—0
DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps—0
CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications—0
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting—0
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research—0
The role of inhibitory neuronal variability in modulating phase diversity between coupled networks—0
Retrieval-guided Cross-view Image Synthesis—0
Clinical Document Corpora and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data—0
Improving the performance of weak supervision searches using data augmentation—0
On Domain-Specific Post-Training for Multimodal Large Language Models—0
Show:102550
← PrevPage 103 of 363Next →

No leaderboard results yet.