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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 5751–5775 of 9051 papers

TitleStatusHype
Multidimensional Fairness in Paper Recommendation—0
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data—0
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph—0
Multi-Domain Targeted Sentiment Analysis—0
TriNER: A Series of Named Entity Recognition Models For Hindi, Bengali & Marathi—0
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer—0
Multi-factor Sequential Re-ranking with Perception-Aware Diversification—0
Multifamily Malware Models—0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping—0
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives—0
Multi-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 2—0
A Systematic Survey on Deep Generative Models for Graph Generation—0
Multi-Head Attention with Disagreement Regularization—0
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations—0
Multi-headed Neural Ensemble Search—0
Multi-Hypothesis Prediction for Portfolio Optimization: A Structured Ensemble Learning Approach to Risk Diversification—0
Multi-intent Aware Contrastive Learning for Sequential Recommendation—0
Multi-Label Active Learning from Crowds—0
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding—0
Multilabel Classification through Random Graph Ensembles—0
A Systematic Exploration of Diversity in Machine Translation—0
Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection—0
Multi-level Latent Space Structuring for Generative Control—0
Multilingual CheckList: Generation and Evaluation—0
TroubleLLM: Align to Red Team Expert—0
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