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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 1401–1425 of 9051 papers

TitleStatusHype
Can LLMs Patch Security Issues?Code1
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping DatasetsCode1
Chain-of-Choice Hierarchical Policy Learning for Conversational RecommendationCode1
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement LearningCode1
Can pre-trained models assist in dataset distillation?Code1
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement LearningCode1
How Many Topics? Stability Analysis for Topic ModelsCode1
DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language ModelsCode1
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided DiffusionCode1
DreamDA: Generative Data Augmentation with Diffusion ModelsCode1
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency DistillationCode1
CityPersons: A Diverse Dataset for Pedestrian DetectionCode1
DRIT++: Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Point Cloud Part Editing: Segmentation, Generation, Assembly, and SelectionCode1
Can we use Common Voice to train a Multi-Speaker TTS system?Code1
Rethinking conditional GAN training: An approach using geometrically structured latent manifoldsCode1
DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI DataCode1
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
Dual-stage Hyperspectral Image Classification Model with Spectral SupertokenCode1
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation FrameworkCode1
Dual Feature Augmentation Network for Generalized Zero-shot LearningCode1
HUMOS: Human Motion Model Conditioned on Body ShapeCode1
Image Quality-aware Diagnosis via Meta-knowledge Co-embeddingCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
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