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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 2176–2200 of 9051 papers

TitleStatusHype
To Distill or Not to Distill? On the Robustness of Robust Knowledge DistillationCode0
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term ModelingCode2
Total-Duration-Aware Duration Modeling for Text-to-Speech Systems—0
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples—0
Quality-Diversity with Limited ResourcesCode0
Diversity in Evolutionary Dynamics—0
Polyhedral Conic Classifier for CTR Prediction—0
Improving Geo-diversity of Generated Images with Contextualized Vendi Score GuidanceCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
Beyond Diagonal RIS-Aided Networks: Performance Analysis and Sectorization Tradeoff—0
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity—0
Data Measurements for Decentralized Data Markets—0
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders ResearchCode0
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract DescriptionsCode0
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual AwarenessCode0
Hi5: 2D Hand Pose Estimation with Zero Human Annotation—0
Understanding the Limitations of Diffusion Concept Algebra Through Food—0
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language ModelsCode2
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis—0
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection—0
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding PerspectiveCode1
Interactive Image Selection and Training for Brain Tumor Segmentation Network—0
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN—0
Highway Value Iteration Networks—0
OpenDataLab: Empowering General Artificial Intelligence with Open Datasets—0
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