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 5501–5525 of 9051 papers

TitleStatusHype
Estimation of Bistatic Radar Detection Performance Under Discrete Clutter Conditions Using Stochastic Geometry—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images—0
Visual Information Guided Zero-Shot Paraphrase GenerationCode0
Long-term Data Sharing under Exclusivity AttacksCode0
EmpHi: Generating Empathetic Responses with Human-like Intents—0
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face RecognitionCode0
Tit for Tattling: Cooperation, communication, and how each could stabilize the other—0
Generating Molecular Conformations via Normalizing Flows and Neural ODEs—0
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
Quantifying Synthesis and Fusion and their Impact on Machine Translation—0
LexiCon: Lexically Constrained Review Generation via Robust Insertion—0
Improving negation detection with negation-focused pre-training—0
Measuring and Improving Semantic Diversity of Dialogue Generation—0
Competition Dynamics in the Meme Ecosystem—0
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationCode1
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering SystemsCode0
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification—0
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection—0
Tailor Versatile Multi-modal Learning for Multi-label Emotion RecognitionCode1
Deep Leaning-Based Ultra-Fast Stair Detection—0
gDNA: Towards Generative Detailed Neural Avatars—0
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations—0
Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning—0
Show:102550
← PrevPage 221 of 363Next →

No leaderboard results yet.