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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 2451–2475 of 9051 papers

TitleStatusHype
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in HanabiCode0
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
Direct May Not Be the Best: An Incremental Evolution View of Pose GenerationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data LimitationsCode0
Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant FactorsCode0
Generating Automatically Print/Scan Textures for Morphing Attack Detection ApplicationsCode0
DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic ClusteringCode0
Generating Informative and Diverse Conversational Responses via Adversarial Information MaximizationCode0
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-MakingCode0
GAIT: A Geometric Approach to Information TheoryCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
GDPP: Learning Diverse Generations Using Determinantal Point ProcessCode0
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision TransformersCode0
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?Code0
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language UnderstandingCode0
Discovering Many Diverse Solutions with Bayesian OptimizationCode0
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear BanditsCode0
Beyond a Single Mode: GAN Ensembles for Diverse Medical Data GenerationCode0
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture ModelingCode0
Game Theory for Adversarial Attacks and DefensesCode0
Discovering the Elite Hypervolume by Leveraging Interspecies CorrelationCode0
Beyond Aesthetics: Cultural Competence in Text-to-Image ModelsCode0
3D2M Dataset: A 3-Dimension diverse Mesh DatasetCode0
Sequential Recommendation with Controllable Diversification: Representation Degeneration and DiversityCode0
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