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

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Showing 3976–4000 of 9051 papers

TitleStatusHype
Experimental Study of RCS Diversity with Novel No-divergent OAM Beams—0
Experimental Results of a 3D Millimeter-Wave Compressive-Reflector-Antenna Imaging System—0
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation—0
Expedition: A Time-Aware Exploratory Search System Designed for Scholars—0
Composable Core-sets for Diversity Approximation on Multi-Dataset Streams—0
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions—0
Expectation-Maximization for Learning Determinantal Point Processes—0
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm—0
A Search for Improved Performance in Regular Expressions—0
A Scalable AI Approach for Clinical Trial Cohort Optimization—0
Expansion under climate change: the genetic consequences—0
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs—0
Generating Responses with a Specific Emotion in Dialog—0
ComPO: Community Preferences for Language Model Personalization—0
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition—0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task—0
Complexity and Diversity in Sparse Code Priors Improve Receptive Field Characterization of Macaque V1 Neurons—0
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach—0
A Sample Selection Approach for Universal Domain Adaptation—0
A graphical framework to detect and categorize diverse opinions from online news—0
ExGes: Expressive Human Motion Retrieval and Modulation for Audio-Driven Gesture Synthesis—0
Generative Adversarial Networks for Unsupervised Object Co-localization—0
Exclusivity Regularized Machine—0
Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition—0
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