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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 4901–4950 of 9051 papers

TitleStatusHype
Exploiting Feature Diversity for Make-up Temporal Video Grounding—0
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksCode1
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery—0
Reducing Exploitability with Population Based TrainingCode0
Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning—0
Adaptive Learning Rates for Faster Stochastic Gradient Methods—0
r/K selection of GC content in prokaryotes—0
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation—0
Deep Billboards towards Lossless Real2Sim in Virtual Reality—0
A Map of Diverse Synthetic Stable Roommates InstancesCode1
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation—0
Preserving Fine-Grain Feature Information in Classification via Entropic RegularizationCode0
DeepGen: Diverse Search Ad Generation and Real-Time Customization—0
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning—0
Mathematical Modeling Analysis and Optimization of Fungal Diversity Growth—0
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding—0
Evolutionary bagging for ensemble learningCode0
Rethinking the Evaluation of Unbiased Scene Graph Generation—0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization—0
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence—0
COMET: Coverage-guided Model Generation For Deep Learning Library TestingCode0
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship—0
Towards Psychologically-Grounded Dynamic Preference Models—0
A Deep Generative Model for Feasible and Diverse Population Synthesis—0
Safe Perception -- A Hierarchical Monitor Approach—0
Information Gain Sampling for Active Learning in Medical Image Classification—0
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical ExamplesCode0
Tackling Neural Architecture Search With Quality Diversity OptimizationCode0
Smoothing Entailment Graphs with Language ModelsCode0
Streaming Algorithms for Diversity Maximization with Fairness ConstraintsCode0
Uncertainty-Driven Action Quality Assessment—0
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity—0
Depth Field Networks for Generalizable Multi-view Scene RepresentationCode2
Graph Inverse Reinforcement Learning from Diverse Videos—0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
LAD: Language Models as Data for Zero-Shot DialogCode0
Analysis of Quality Diversity Algorithms for the Knapsack Problem—0
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem—0
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation—0
Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation—0
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition—0
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification—0
Generalized Probabilistic U-Net for medical image segementationCode1
Static and Dynamic Concepts for Self-supervised Video Representation LearningCode1
Classifier-Free Diffusion GuidanceCode2
Bugs as Features (Part I): Concepts and Foundations for the Compositional Data Analysis of the Microbiome-Gut-Brain Axis—0
Representational Ethical Model Calibration—0
Domain-invariant Feature Exploration for Domain Generalization—0
CelebV-HQ: A Large-Scale Video Facial Attributes DatasetCode2
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification—0
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