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 2451–2475 of 9051 papers

TitleStatusHype
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images—0
Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review—0
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning—0
Choices or constraints: decoding financial empowerment among women entrepreneurs in France—0
Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction—0
AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations—0
Chitrarth: Bridging Vision and Language for a Billion People—0
Applications and Analysis of Bio-Inspired Eagle Strategy for Engineering Optimization—0
Chirped DFT-s-OFDM: A new single-carrier waveform with enhanced LMMSE noise suppression—0
Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context—0
Application of Vector Sensor for Underwater Acoustic Communications—0
A fast density peak clustering based particle swarm optimizer for dynamic optimization—0
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion—0
Chinese/English mixed Character Segmentation as Semantic Segmentation—0
Chernoff Bounds and Saddlepoint Approximations for the Outage Probability in Intelligent Reflecting Surface Assisted Communication Systems—0
Application of Liquid Rank Reputation System for Twitter Trend Analysis on Bitcoin—0
Application of Liquid Rank Reputation System for Content Recommendation—0
Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning—0
A Family of Maximum Margin Criterion for Adaptive Learning—0
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems—0
Application-Driven AI Paradigm for Person Counting in Various Scenarios—0
A concise guide to existing and emerging vehicle routing problem variants—0
Chat More If You Like: Dynamic Cue Words Planning to Flow Longer Conversations—0
A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation—0
Spin glass model of in-context learning—0
Show:102550
← PrevPage 99 of 363Next →

No leaderboard results yet.