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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 501–550 of 9051 papers

TitleStatusHype
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos—0
Probabilistic Prompt Distribution Learning for Animal Pose EstimationCode1
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data—0
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection—0
SynCity: Training-Free Generation of 3D Worlds—0
LaPIG: Cross-Modal Generation of Paired Thermal and Visible Facial Images—0
Unify and Triumph: Polyglot, Diverse, and Self-Consistent Generation of Unit Tests with LLMs—0
Autonomous AI imitators increase diversity in homogeneous information ecosystems—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
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
Optimal compound downselection to promote diversity and parallel chemistry—0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing—0
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking PortraitCode3
Personalize Anything for Free with Diffusion Transformer—0
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
MUSS: Multilevel Subset Selection for Relevance and Diversity—0
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning—0
Make Optimization Once and for All with Fine-grained Guidance—0
RONA: Pragmatically Diverse Image Captioning with Coherence RelationsCode0
Beamforming for Movable and Rotatable Antenna Enabled Multi-User Communications—0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
GroundingSuite: Measuring Complex Multi-Granular Pixel GroundingCode2
Information Density Principle for MLLM BenchmarksCode0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identificationCode1
Climate land use and other drivers impacts on island ecosystem services: a global review—0
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion—0
Distilling Diversity and Control in Diffusion Models—0
Ordered Semantically Diverse Sampling for Textual Data—0
Bags of Projected Nearest Neighbours: Competitors to Random Forests?Code0
Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models—0
Maintaining diversity in structured populationsCode0
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC—0
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse TasksCode0
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models—0
Considering Length Diversity in Retrieval-Augmented SummarizationCode0
SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction PredictionCode0
Double-Stage Feature-Level Clustering-Based Mixture of Experts Framework—0
MaRI: Material Retrieval Integration across Domains—0
Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion RecognitionCode0
Is Limited Participant Diversity Impeding EEG-based Machine Learning?Code0
Understanding the Quality-Diversity Trade-off in Diffusion Language ModelsCode0
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