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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 2226–2250 of 9051 papers

TitleStatusHype
TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints—0
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains—0
Many-Task Federated Fine-Tuning via Unified Task Vectors—0
Select before Act: Spatially Decoupled Action Repetition for Continuous Control—0
Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AICode0
Universal point spread function engineering for 3D optical information processing—0
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related QueriesCode0
A Tutorial On Intersectionality in Fair Rankings—0
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types—0
Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning—0
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety—0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
Affine Frequency Division Multiplexing: Extending OFDM for Scenario-Flexibility and Resilience—0
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation—0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion—0
SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation—0
PoI: Pixel of Interest for Novel View Synthesis Assisted Scene Coordinate Regression—0
Leveraging band diversity for feature selection in EO data—0
Augmented Conditioning Is Enough For Effective Training Image Generation—0
UniForm: A Unified Multi-Task Diffusion Transformer for Audio-Video Generation—0
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation—0
When One LLM Drools, Multi-LLM Collaboration Rules—0
TriNER: A Series of Named Entity Recognition Models For Hindi, Bengali & Marathi—0
Pre-Optimized Irregular Arrays versus Moveable Antennas in Multi-User MIMO Systems—0
Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance—0
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