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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

Showing 41264150 of 9051 papers

TitleStatusHype
Analysing Equilibrium States for Population Diversity0
ReelFramer: Human-AI Co-Creation for News-to-Video Translation0
Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive ImitationCode0
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image ModelsCode0
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation0
Participatory Design of AI with Children: Reflections on IDC Design Challenge0
Revisiting k-NN for Fine-tuning Pre-trained Language ModelsCode1
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction0
The MiniPile Challenge for Data-Efficient Language ModelsCode0
ERTIM@MC2: Diversified Argumentative Tweets Retrieval0
CAViaR: Context Aware Video Recommendations0
Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations0
Context-aware Domain Adaptation for Time Series Anomaly Detection0
Test-Optional Admissions0
Efficient Quality-Diversity Optimization through Diverse Quality SpeciesCode0
Text-Conditional Contextualized Avatars For Zero-Shot Personalization0
The Second Monocular Depth Estimation Challenge0
Learning to exploit z-Spatial Diversity for Coherent Nonlinear Optical Fiber Communication0
SiLK -- Simple Learned KeypointsCode2
Mutation enhances cooperation in direct reciprocity0
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity0
Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automata0
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANsCode1
Wild Face Anti-Spoofing Challenge 2023: Benchmark and ResultsCode0
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric ViewsCode1
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