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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 2326–2350 of 9051 papers

TitleStatusHype
FinTextQA: A Dataset for Long-form Financial Question Answering—0
Color Space Learning for Cross-Color Person Re-IdentificationCode1
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving—0
HAAP: Vision-context Hierarchical Attention Autoregressive with Adaptive Permutation for Scene Text Recognition—0
BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform—0
Facilitating Opinion Diversity through Hybrid NLP Approaches—0
Sonos Voice Control Bias Assessment Dataset: A Methodology for Demographic Bias Assessment in Voice Assistants—0
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models—0
Targeted Augmentation for Low-Resource Event Extraction—0
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
Open-Vocabulary Object Detection via Neighboring Region Attention Alignment—0
Treatment Effect Estimation for User Interest Exploration on Recommender SystemsCode1
Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization—0
Growing Artificial Neural Networks for Control: the Role of Neuronal DiversityCode0
Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video—0
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
Discursive objection strategies in online comments: Developing a classification schema and validating its training—0
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of MetricsCode0
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-ResolutionCode2
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionCode0
Sign Stitching: A Novel Approach to Sign Language ProductionCode0
Thermodynamic limit in learning period three—0
Learnable Item Tokenization for Generative RecommendationCode2
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?—0
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence—0
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