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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 7401–7425 of 9051 papers

TitleStatusHype
Characterizing Model Collapse in Large Language Models Using Semantic Networks and Next-Token Probability—0
Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation—0
Tunable Hybrid Proposal Networks for the Open World—0
Progressive Ensemble Networks for Zero-Shot Recognition—0
Self-Training for End-to-End Speech Recognition—0
Seller-side Outcome Fairness in Online Marketplaces—0
Aligning Instruction Tuning with Pre-training—0
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning—0
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception—0
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts—0
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization—0
Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review—0
Semantic Cells: Evolutional Process to Acquire Sense Diversity of Items—0
VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors—0
Alibaba Submission to the WMT20 Parallel Corpus Filtering Task—0
Semantic Diversity by Phonetics for Accurate and Robust Machine Translation—0
Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems—0
Semantic Diversity in Dialogue with Natural Language Inference—0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector—0
Semantic Diversity versus Visual Diversity in Visual Dictionaries—0
Semantic Example Guided Image-to-Image Translation—0
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models—0
An Algorithm for Multi-Attribute Diverse Matching—0
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification—0
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