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 3876–3900 of 9051 papers

TitleStatusHype
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training—0
Diffusion on language model encodings for protein sequence generation—0
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data SetsCode0
Adaptive Discovering and Merging for Incremental Novel Class Discovery—0
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal DatasetsCode0
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation—0
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds—0
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations—0
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection—0
Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making—0
NusaBERT: Teaching IndoBERT to be Multilingual and MulticulturalCode0
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages—0
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks—0
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models—0
Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI—0
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting—0
Text-guided Explorable Image Super-resolution—0
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses—0
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models—0
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models—0
Enhancing Jailbreak Attacks with Diversity Guidance—0
Identify Critical Nodes in Complex Network with Large Language Models—0
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data SilosCode0
AI and Identity—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Show:102550
← PrevPage 156 of 363Next →

No leaderboard results yet.