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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 8951–9000 of 9051 papers

TitleStatusHype
Surrogate-Assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-Objective Bayesian OptimizationCode0
XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT ScansCode0
An Automated Ensemble Learning Framework Using Genetic Programming for Image ClassificationCode0
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating AttentionCode0
On the Diversity of Realistic Image SynthesisCode0
Deep Reinforcement Learning for Dialogue GenerationCode0
RORA: Robust Free-Text Rationale EvaluationCode0
Deep Reinforcement Learning-based Exploration of Web ApplicationsCode0
A Unified Substrate for Body-Brain Co-evolutionCode0
EuLearn: A 3D database for learning Euler characteristicsCode0
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining DatasetsCode0
ETS: Efficient Tree Search for Inference-Time ScalingCode0
On the Encoder-Decoder Incompatibility in Variational Text Modeling and BeyondCode0
Wild Face Anti-Spoofing Challenge 2023: Benchmark and ResultsCode0
On the Evaluation of Conditional GANsCode0
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial NetworksCode0
UltraEdit: Instruction-based Fine-Grained Image Editing at ScaleCode0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
Deep Metric Learning with BIER: Boosting Independent Embeddings RobustlyCode0
AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationCode0
Semi-Discriminative Representation Loss for Online Continual LearningCode0
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBsCode0
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVMCode0
On the Importance of Data Size in Probing Fine-tuned ModelsCode0
Deep Learning Models for Atypical Serotonergic Cells RecognitionCode0
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental ComparisonsCode0
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine TranslationCode0
Bridging the Gap between Learning and Inference for Diffusion-Based Molecule GenerationCode0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
A Benchmark Database of Phonetic Alignments in Historical Linguistics and DialectologyCode0
A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work StylesCode0
Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural ArchitecturesCode0
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample LearningCode0
Deep Hashing with Category Mask for Fast Video RetrievalCode0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
Deep Ensembles Work, But Are They Necessary?Code0
An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog SystemCode0
Analyzing Uncertainty in Neural Machine TranslationCode0
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its TeacherCode0
Ethical Considerations for Responsible Data CurationCode0
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language UnderstandingCode0
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model EvaluationCode0
Deep Ensembles with Hierarchical Diversity PruningCode0
Augmenting High-dimensional Nonlinear Optimization with Conditional GANsCode0
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic ParadigmCode0
Deep Co-Training for Semi-Supervised Image SegmentationCode0
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer LearningCode0
3D2M Dataset: A 3-Dimension diverse Mesh DatasetCode0
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