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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 2201–2250 of 9051 papers

TitleStatusHype
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate MetricCode0
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of DocumentsCode0
Adversarial Inference for Multi-Sentence Video DescriptionCode0
CausalDialogue: Modeling Utterance-level Causality in ConversationsCode0
Hierarchical Reinforcement Learning via Advantage-Weighted Information MaximizationCode0
High-dimensional Assisted Generative Model for Color Image RestorationCode0
CatVRNN: Generating Category Texts via Multi-task LearningCode0
Adversarial Imitation Learning with Trajectorial Augmentation and CorrectionCode0
Cats or CAT scans: transfer learning from natural or medical image source datasets?Code0
CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text GenerationCode0
Higher-Order Message Passing for Glycan Representation LearningCode0
How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?Code0
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationCode0
CAT: Contrastive Adapter Training for Personalized Image GenerationCode0
Heterogeneous Random ForestCode0
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETsCode0
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and DiversityCode0
Cascading CMA-ES Instances for Generating Input-diverse Solution BatchesCode0
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionCode0
Harmony in Diversity: Merging Neural Networks with Canonical Correlation AnalysisCode0
A Comprehensive Evaluation on Event Reasoning of Large Language ModelsCode0
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic SystemsCode0
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trickCode0
Guylingo: The Republic of Guyana Creole CorporaCode0
Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networksCode0
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member ModelsCode0
Capturing the diversity of multilingual societiesCode0
Growing Artificial Neural Networks for Control: the Role of Neuronal DiversityCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
Grouping Words with Semantic DiversityCode0
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred LearningCode0
Group Relative Policy Optimization for Image CaptioningCode0
GridDehazeNet: Attention-Based Multi-Scale Network for Image DehazingCode0
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural NetworksCode0
Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?Code0
Graph-guided Architecture Search for Real-time Semantic SegmentationCode0
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and CostCode0
Gradient Estimators for Implicit ModelsCode0
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Code0
Gram-Elites: N-Gram Based Quality-Diversity SearchCode0
GRATIS: GeneRAting TIme Series with diverse and controllable characteristicsCode0
Hierarchical Pruning of Deep Ensembles with Focal DiversityCode0
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture ModelingCode0
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic MeasuresCode0
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial NetworksCode0
GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANsCode0
Global Counterfactual DirectionsCode0
Problematic Tokens: Tokenizer Bias in Large Language ModelsCode0
Global News Synchrony and Diversity During the Start of the COVID-19 PandemicCode0
GFlowNets and variational inferenceCode0
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