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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 6751–6800 of 9051 papers

TitleStatusHype
Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation—0
Domain Adaptation for Learning Generator from Paired Few-Shot Data—0
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder—0
Controllable and Diverse Text Generation in E-commerce—0
Analysis of Evolutionary Diversity Optimisation for Permutation Problems—0
QuPeL: Quantized Personalization with Applications to Federated Learning—0
Pre-Training BERT on Arabic Tweets: Practical Considerations—0
Augmenting High-dimensional Nonlinear Optimization with Conditional GANsCode0
Fading Margins for Large-Scale Antenna Systems—0
Data-Aware Device Scheduling for Federated Edge Learning—0
Learning Invariant Representation of Tasks for Robust Surgical State Estimation—0
Corporate Social Responsibility and Corporate Governance: A cognitive approach—0
Data-Driven Logistic Regression Ensembles With Applications in Genomics—0
Improving speech recognition models with small samples for air traffic control systems—0
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning—0
A Unified Batch Selection Policy for Active Metric Learning—0
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems—0
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform—0
Developing parsimonious ensembles using predictor diversity within a reinforcement learning frameworkCode0
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods—0
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic MeasuresCode0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection—0
Searching for Designs in-between—0
Toward Improving Coherence and Diversity of Slogan GenerationCode0
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models—0
Diverse Single Image Generation with Controllable Global Structure—0
Enhancing Audio Augmentation Methods with Consistency Learning—0
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network—0
Determinantal consensus clustering—0
A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection—0
Diversification in Session-based News Recommender SystemsCode0
Diversity-Robust Acoustic Feature Signatures Based on Multiscale Fractal Dimension for Similarity Search of Environmental Sounds—0
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
Neural Data Augmentation via Example ExtrapolationCode0
A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space"—0
Neural representation and generation for RNA secondary structures—0
[Re] Reproducibility study - Does enforcing diversity in hidden states of LSTM-Attention models improve transparency?Code0
Introduction of a novel word embedding approach based on technology labels extracted from patent data—0
Infant Cry Classification with Graph Convolutional Networks—0
Niching Diversity Estimation for Multi-modal Multi-objective Optimization—0
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss—0
Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity—0
No-Regret Caching via Online Mirror Descent—0
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track CharacteristicsCode0
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data—0
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBsCode0
LS-HDIB: A Large Scale Handwritten Document Image Binarization Dataset—0
Black Feminist Musings on Algorithmic Oppression—0
Adversarial Text-to-Image Synthesis: A Review—0
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