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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 2401–2450 of 9051 papers

TitleStatusHype
GFlowNets and variational inferenceCode0
Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasksCode0
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning AlgorithmsCode0
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language ModelsCode0
3D2M Dataset: A 3-Dimension diverse Mesh DatasetCode0
GenZSL: Generative Zero-Shot Learning Via Inductive Variational AutoencoderCode0
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source LayoutCode0
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear BanditsCode0
Genetic Algorithm with Innovative Chromosome Patterns in the Breeding ProcessCode0
Global Counterfactual DirectionsCode0
Generative Monoculture in Large Language ModelsCode0
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?Code0
An Empirical Study of Translation Hypothesis Ensembling with Large Language ModelsCode0
Generative AI and Creativity: A Systematic Literature Review and Meta-AnalysisCode0
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog GenerationCode0
DiNeR: a Large Realistic Dataset for Evaluating Compositional GeneralizationCode0
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modelingCode0
Generating Sentential Arguments from Diverse Perspectives on Controversial TopicCode0
Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial CurvesCode0
Generating Natural Language Adversarial ExamplesCode0
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANsCode0
Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture SynthesisCode0
Generating Neural Networks with Neural NetworksCode0
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning ArchitectureCode0
Generating Diverse and High-Quality Texts by Minimum Bayes Risk DecodingCode0
Generating Diverse and Meaningful CaptionsCode0
Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text GenerationCode0
Toward Improving Coherence and Diversity of Slogan GenerationCode0
Generating Diverse Descriptions from Semantic GraphsCode0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Problematic Tokens: Tokenizer Bias in Large Language ModelsCode0
Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant FactorsCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political DiscussionCode0
Diffusion Models for Probabilistic Deconvolution of Galaxy ImagesCode0
Generating Diverse and Accurate Visual Captions by Comparative Adversarial LearningCode0
A Deep Generative Artificial Intelligence system to decipher species coexistence patternsCode0
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data LimitationsCode0
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?Code0
GAIT: A Geometric Approach to Information TheoryCode0
Generating Informative and Diverse Conversational Responses via Adversarial Information MaximizationCode0
Generating Language Corrections for Teaching Physical Control TasksCode0
GDPP: Learning Diverse Generations Using Determinantal Point ProcessCode0
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language UnderstandingCode0
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer SatisfactionCode0
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept RelationshipsCode0
GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image GenerationCode0
Game Theory for Adversarial Attacks and DefensesCode0
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?Code0
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-MakingCode0
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