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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 3076–3100 of 9051 papers

TitleStatusHype
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning—0
UINav: A Practical Approach to Train On-Device Automation Agents—0
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning—0
Planning and Rendering: Towards Product Poster Generation with Diffusion Models—0
Text2Immersion: Generative Immersive Scene with 3D Gaussians—0
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels—0
ArchiGuesser -- AI Art Architecture Educational GameCode0
DiffusionLight: Light Probes for Free by Painting a Chrome BallCode2
Adaptive parameter sharing for multi-agent reinforcement learning—0
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition—0
Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AICode1
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real ImagesCode1
Generalized Deepfakes Detection with Reconstructed-Blended Images and Multi-scale Feature Reconstruction Network—0
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits—0
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Boosting Latent Diffusion with Flow MatchingCode2
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models—0
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose EstimationCode1
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and NoiseCode1
Deep Internal Learning: Deep Learning from a Single Input—0
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding—0
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models—0
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization—0
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation—0
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