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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 501–525 of 9051 papers

TitleStatusHype
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos—0
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection—0
SynCity: Training-Free Generation of 3D Worlds—0
Probabilistic Prompt Distribution Learning for Animal Pose EstimationCode1
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data—0
LaPIG: Cross-Modal Generation of Paired Thermal and Visible Facial Images—0
Autonomous AI imitators increase diversity in homogeneous information ecosystems—0
Unify and Triumph: Polyglot, Diverse, and Self-Consistent Generation of Unit Tests with LLMs—0
Temporal Regularization Makes Your Video Generator Stronger—0
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level AlignmentCode1
Understanding the Generalization of In-Context Learning in Transformers: An Empirical StudyCode0
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning—0
PET-MAD, a universal interatomic potential for advanced materials modelingCode2
KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse—0
Concept-as-Tree: Synthetic Data is All You Need for VLM PersonalizationCode0
DivCon-NeRF: Generating Augmented Rays with Diversity and Consistency for Few-shot View Synthesis—0
Optimal compound downselection to promote diversity and parallel chemistry—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking PortraitCode3
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing—0
Personalize Anything for Free with Diffusion Transformer—0
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System—0
MUSS: Multilevel Subset Selection for Relevance and Diversity—0
Make Optimization Once and for All with Fine-grained Guidance—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
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