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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 7251–7275 of 9051 papers

TitleStatusHype
Sampling Strategies for GAN Synthetic Data—0
Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets—0
Efficient and Training-Free Control of Language Generation—0
Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.—0
SANE: Specialization-Aware Neural Network Ensemble—0
SAOR: Single-View Articulated Object Reconstruction—0
Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection—0
Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping—0
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models—0
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation—0
An Active Learning Framework for Inclusive Generation by Large Language Models—0
Says Who ? Identification of Expert versus Layman Critics' Reviews of Documentary Films—0
Scaffold-Based Multi-Objective Drug Candidate Optimization—0
An Active Learning Based Approach For Effective Video Annotation And Retrieval—0
An Abstraction Model for Semantic Segmentation Algorithms—0
Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs—0
A Multi-View Discriminant Learning Approach for Indoor Localization Using Bimodal Features of CSI—0
Scalable Source Code Similarity Detection in Large Code Repositories—0
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity—0
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background—0
Scaled ReLU Matters for Training Vision Transformers—0
A multi-platform metabolomics approach identifies novel biomarkers associated with bacterial diversity in the human vagina—0
A Multi-Persona Chatbot for Hotline Counselor Training—0
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws—0
A Comprehensive Social Bias Audit of Contrastive Vision Language Models—0
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