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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 3051–3100 of 9051 papers

TitleStatusHype
Q-SENN: Quantized Self-Explaining Neural NetworksCode1
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data—0
Computational detection of antigen specific B cell receptors following immunizationCode0
Understanding and Estimating Domain Complexity Across Domains—0
Enhancing Optimization Through Innovation: The Multi-Strategy Improved Black Widow Optimization Algorithm (MSBWOA)—0
AMD:Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion—0
MotionScript: Natural Language Descriptions for Expressive 3D Human Motions—0
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAXCode2
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem—0
Point Cloud Part Editing: Segmentation, Generation, Assembly, and SelectionCode1
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning—0
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting—0
Domain adaption and physical constrains transfer learning for shale gas production—0
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity—0
Density Descent for Diversity Optimization—0
A Multimodal Approach for Advanced Pest Detection and Classification—0
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI—0
Rethinking Robustness of Model AttributionsCode0
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning—0
Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation—0
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing dataCode0
Unraveling Batch Normalization for Realistic Test-Time AdaptationCode0
How Does It Function? Characterizing Long-term Trends in Production Serverless WorkloadsCode1
CETN: Contrast-enhanced Through Network for CTR PredictionCode1
SoloPose: One-Shot Kinematic 3D Human Pose Estimation with Video Data AugmentationCode1
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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