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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 3201–3250 of 9051 papers

TitleStatusHype
Touring sampling with pushforward maps—0
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning—0
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution—0
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery—0
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text RecognizerCode1
XAGen: 3D Expressive Human Avatars Generation—0
Data Diversity Matters for Robust Instruction Tuning—0
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer—0
Generating Progressive Images from Pathological Transitions via Diffusion ModelCode1
A Hybrid Frame Structure Design of OTFS for Multi-tasks Communications—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Infinite forecast combinations based on Dirichlet process—0
Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networksCode0
IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages—0
Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM—0
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masksCode3
Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models—0
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data—0
Steering Responsible AI: A Case for Algorithmic Pluralism—0
Modelling the Formation of Peer-to-Peer Trading Coalitions and Prosumer Participation Incentives in Transactive Energy Communities—0
Workforce pDEI: Productivity Coupled with DEI—0
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI—0
Multi-Task Reinforcement Learning with Mixture of Orthogonal ExpertsCode1
Partially Randomizing Transformer Weights for Dialogue Response Diversity—0
Diverse Shape Completion via Style Modulated Generative Adversarial Networks—0
Unsupervised Estimation of Ensemble Accuracy—0
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images—0
An Empirical Bayes Framework for Open-Domain Dialogue Generation—0
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression—0
Optimal navigability of weighted human brain connectomes in physical space—0
Hierarchical Pruning of Deep Ensembles with Focal DiversityCode0
JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language ProcessingCode0
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic TextCode0
Program-Aided Reasoners (better) Know What They KnowCode0
Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations—0
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language UnderstandingCode0
How Far Can We Extract Diverse Perspectives from Large Language Models?Code0
Attribute Diversity Determines the Systematicity Gap in VQACode0
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
Safer-Instruct: Aligning Language Models with Automated Preference DataCode1
MC^2: Towards Transparent and Culturally-Aware NLP for Minority Languages in ChinaCode1
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations—0
AI-generated text boundary detection with RoFTCode1
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications—0
Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation—0
Towards Reasoning in Large Language Models via Multi-Agent Peer Review CollaborationCode1
Self-Evolved Diverse Data Sampling for Efficient Instruction TuningCode1
Reimagining Speech: A Scoping Review of Deep Learning-Powered Voice Conversion—0
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