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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 1151–1200 of 9051 papers

TitleStatusHype
Diversity Enhanced Active Learning with Strictly Proper Scoring RulesCode1
AugMax: Adversarial Composition of Random Augmentations for Robust TrainingCode1
Robustness of Graph Neural Networks at ScaleCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
MUGL: Large Scale Multi Person Conditional Action Generation with LocomotionCode1
Generative Adversarial Graph Convolutional Networks for Human Action SynthesisCode1
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images GenerationCode1
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic FacesCode1
Trigger Hunting with a Topological Prior for Trojan DetectionCode1
UniPELT: A Unified Framework for Parameter-Efficient Language Model TuningCode1
Considering user agreement in learning to predict the aesthetic qualityCode1
Graph Meta Network for Multi-Behavior RecommendationCode1
Data Augmentation Approaches in Natural Language Processing: A SurveyCode1
Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture GenerationCode1
Parallel Refinements for Lexically Constrained Text Generation with BARTCode1
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-IdentificationCode1
Learning to Regrasp by Learning to PlaceCode1
RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictionsCode1
Towards Document-Level Paraphrase Generation with Sentence Rewriting and ReorderingCode1
A Temporal Variational Model for Story GenerationCode1
Explain Me the Painting: Multi-Topic Knowledgeable Art Description GenerationCode1
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus ExplorationCode1
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained ModelsCode1
Illuminating Diverse Neural Cellular Automata for Level GenerationCode1
Contrastive Quantization with Code Memory for Unsupervised Image RetrievalCode1
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activityCode1
Active Learning by Acquiring Contrastive ExamplesCode1
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation ApproachCode1
Text AutoAugment: Learning Compositional Augmentation Policy for Text ClassificationCode1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Plan-then-Generate: Controlled Data-to-Text Generation via PlanningCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and ClassificationCode1
Subgoal Search For Complex Reasoning TasksCode1
DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based OptimizationCode1
Influence Selection for Active LearningCode1
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code ContributionsCode1
Generating Smooth Pose Sequences for Diverse Human Motion PredictionCode1
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd CountingCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Diversity-based Trajectory and Goal Selection with Hindsight Experience ReplayCode1
DGCN: Diversified Recommendation with Graph Convolutional NetworksCode1
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
Sketch Your Own GANCode1
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-IDCode1
The Classical Language Toolkit: An NLP Framework for Pre-Modern LanguagesCode1
ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse ParaphrasingCode1
Out-of-Core Surface Reconstruction via Global TGV MinimizationCode1
Personalized Trajectory Prediction via Distribution DiscriminationCode1
Reenvisioning Collaborative Filtering vs Matrix FactorizationCode1
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