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 2001–2025 of 9051 papers

TitleStatusHype
Cultural Incongruencies in Artificial Intelligence—0
A unified view of generative models for networks: models, methods, opportunities, and challenges—0
CURAJ_IIITDWD@LT-EDI-ACL 2022: Hope Speech Detection in English YouTube Comments using Deep Learning Techniques—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels—0
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration—0
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules—0
A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake—0
A Universality-Individuality Integration Model for Dialog Act Classification—0
A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem—0
Current and future directions in network biology—0
Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review—0
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks—0
Conditional Text Image Generation with Diffusion Models—0
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld—0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework—0
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering—0
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle—0
A small Griko-Italian speech translation corpus—0
Show:102550
← PrevPage 81 of 363Next →

No leaderboard results yet.