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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 2901–2950 of 9051 papers

TitleStatusHype
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversionCode0
FaceCoresetNet: Differentiable Coresets for Face Set RecognitionCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO VarianceCode0
Bags of Projected Nearest Neighbours: Competitors to Random Forests?Code0
Expressivity of Parameterized and Data-driven Representations in Quality Diversity SearchCode0
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual LearningCode0
On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven AnalysisCode0
Particle Smoothing Variational ObjectivesCode0
Deep Ensembles Work, But Are They Necessary?Code0
Facilitating bootstrapped and rarefaction-based microbiome diversity analysis with q2-bootsCode0
Generative AI and Creativity: A Systematic Literature Review and Meta-AnalysisCode0
Deep Ensembles with Hierarchical Diversity PruningCode0
Exploring the Evolution of GANs through Quality DiversityCode0
Exploring Sparsity for Parameter Efficient Fine Tuning Using WaveletsCode0
Exploring Precision and Recall to assess the quality and diversity of LLMsCode0
Exploring the Capabilities of Large Language Models for Generating Diverse Design SolutionsCode0
Exploring the Performance-Reproducibility Trade-off in Quality-DiversityCode0
A Workbench for Autograding Retrieve/Generate SystemsCode0
Deep Co-Training for Semi-Supervised Image SegmentationCode0
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution StrategiesCode0
DUAL: Diversity and Uncertainty Active Learning for Text SummarizationCode0
Exploring Model Consensus to Generate Translation ParaphrasesCode0
Exploring Flat Minima for Domain Generalization with Large Learning RatesCode0
A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial DiversityCode0
Dual-Representation Interaction Driven Image Quality Assessment with Restoration AssistanceCode0
Exploring Format Consistency for Instruction TuningCode0
Exploring Model Learning Heterogeneity for Boosting Ensemble RobustnessCode0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
Exploratory State Representation LearningCode0
Deep Active Learning: Unified and Principled Method for Query and TrainingCode0
Exploiting ConvNet Diversity for Flooding IdentificationCode0
Explaining crime diversity with Google street viewCode0
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist ExaminationCode0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment ProblemCode0
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text GenerationCode0
VideoDG: Generalizing Temporal Relations in Videos to Novel DomainsCode0
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble MannerCode0
Exact Fusion via Feature Distribution Matching for Few-shot Image GenerationCode0
Expanding functional protein sequence space using generative adversarial networksCode0
Deconditional Downscaling with Gaussian ProcessesCode0
Evolvability ES: Scalable and Direct Optimization of EvolvabilityCode0
Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context LearningCode0
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity AlgorithmCode0
Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible TemplatesCode0
Exploring Diversity in Back Translation for Low-Resource Machine TranslationCode0
Exploring the Role of Node Diversity in Directed Graph Representation LearningCode0
Decomposed Distribution Matching in Dataset CondensationCode0
Event Transition Planning for Open-ended Text GenerationCode0
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