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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 6251–6300 of 9051 papers

TitleStatusHype
Role Diversity Matters: A Study of Cooperative Training Strategies for Multi-Agent RL—0
Neural Architecture Search via Ensemble-based Knowledge Distillation—0
Enhancing the Transferability of Adversarial Attacks via Scale Ensemble—0
SANE: Specialization-Aware Neural Network Ensemble—0
A Flexible Measurement of Diversity in Datasets with Random Network Distillation—0
Exploiting Knowledge Distillation for Few-Shot Image Generation—0
Decoupled Kernel Neural Processes: Neural Network-Parameterized Stochastic Processes using Explicit Data-driven Kernel—0
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space—0
Improving Neural Network Generalization via Promoting Within-Layer Diversity—0
Improving Out-of-Distribution Robustness of Classifiers Through Interpolated Generative Models—0
Generalization to Out-of-Distribution transformations—0
Domain-wise Adversarial Training for Out-of-Distribution Generalization—0
Single-Cell Capsule Attention : an interpretable method of cell type classification for single-cell RNA-sequencing data—0
Less data is more: Selecting informative and diverse subsets with balancing constraints—0
CausalDyna: Improving Generalization of Dyna-style Reinforcement Learning via Counterfactual-Based Data Augmentation—0
Perturbation Diversity Certificates Robust Generalisation—0
Chameleon Sampling: Diverse and Pure Example Selection for Online Continual Learning with Noisy Labels—0
Maximizing Ensemble Diversity in Deep Reinforcement Learning—0
What Makes for Good Representations for Contrastive Learning—0
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning—0
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation—0
Exploratory State Representation LearningCode0
Making Curiosity Explicit in Vision-based RL—0
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal GraphsCode0
Diversity of growth rates maximizes phytoplankton productivity in an eddying ocean—0
Review of Clustering-Based Recommender Systems—0
Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP)Code0
Audio-to-Image Cross-Modal Generation—0
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles—0
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning—0
Smartphone Data Reveal Neighborhood-Level Racial Disparities in Police Presence—0
Stacked Ensemble Machine Learning for Range-Separation ParametersCode0
Internal Feedback in Biological Control: Diversity, Delays, and Standard Theory—0
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification—0
Human genetic admixture through the lens of population genomics—0
The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI—0
Stigmergy-based collision-avoidance algorithm for self-organising swarms—0
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation—0
Search For Deep Graph Neural Networks—0
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management—0
Generalization in Mean Field Games by Learning Master Policies—0
Variational Embedding Multiscale Sample Entropy:complexity-based analysis for multichannel systems—0
Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision—0
Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots—0
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks—0
SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction—0
Modeling Multi-granularity Segmentation for Rare Words in Neural Machine Translation—0
Improving Personalized Dialogue Generation Models with Data-level Distillation and Diversification—0
Analyzing the Habitable Zones of Circumbinary Planets Using Machine LearningCode0
DDS: A new device-degraded speech dataset for speech enhancement—0
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