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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 1301–1350 of 9051 papers

TitleStatusHype
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity MaximizationCode1
Scaling-up Disentanglement for Image TranslationCode1
High-Fidelity Pluralistic Image Completion with TransformersCode1
Generating Novel Scene Compositions from Single Images and VideosCode1
Multimodal Motion Prediction with Stacked TransformersCode1
Local Patch AutoAugment with Multi-Agent CollaborationCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
Large Scale Image Completion via Co-Modulated Generative Adversarial NetworksCode1
Action detection using a neural network elucidates the genetics of mouse grooming behaviorCode1
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19Code1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Modelling Behavioural Diversity for Learning in Open-Ended GamesCode1
Treatment Effect Estimation using Invariant Risk MinimizationCode1
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face AssociationCode1
Topical Language Generation using TransformersCode1
Diverse Semantic Image Synthesis via Probability Distribution ModelingCode1
Nutrition5k: Towards Automatic Nutritional Understanding of Generic FoodCode1
When Face Recognition Meets Occlusion: A New BenchmarkCode1
GLAMOUR: Graph Learning over Macromolecule RepresentationsCode1
Group-wise Inhibition based Feature Regularization for Robust ClassificationCode1
Multi-Objective Evolutionary Design of Composite Data-Driven ModelsCode1
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial NetworksCode1
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample PredictionCode1
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual ConceptsCode1
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative ModelsCode1
LTL2Action: Generalizing LTL Instructions for Multi-Task RLCode1
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language ModelsCode1
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
DOA Estimation with Non-Uniform Linear Arrays: A Phase-Difference Projection ApproachCode1
Co-Mixup: Saliency Guided Joint Mixup with Supermodular DiversityCode1
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language ModelsCode1
Underwater Image Enhancement via Learning Water Type Desensitized RepresentationsCode1
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classificationCode1
LSOIE: A Large-Scale Dataset for Supervised Open Information ExtractionCode1
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase GenerationCode1
Salient Object Detection via Integrity LearningCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
MLGO: a Machine Learning Guided Compiler Optimizations FrameworkCode1
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object DetectionCode1
Learning from Synthetic Shadows for Shadow Detection and RemovalCode1
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-Tree Complex Wavelet Representation and Contradict Channel LossCode1
Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge DistillationCode1
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense KnowledgeCode1
StyleFormer: Real-Time Arbitrary Style Transfer via Parametric Style CompositionCode1
ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicCode1
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing ProblemsCode1
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth EstimationCode1
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke EncodingCode1
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-EncodersCode1
Fork or Fail: Cycle-Consistent Training with Many-to-One MappingsCode1
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